{
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JVt9P1LhHSDMEEVTst5wa6WvsB1SGXx/6Zm5eMRMgfz30ZU/4ixYu7y2C8PfXZLgx5yoUH8mDX8USteC8bum7eOWqMZbDcl3TqtWNtN1seteKBffW9ST7GfgUELzK4GoGlPbM03u1iJOJ0SOrA/mzic78PNH4c7ENE3jCRCf2EXozpo138uZD3BLOo8mmFha/5crsSaS6voZvWzPzZBQpWVCqlFy6P/DolzhMCO03vrd0tB2zv0SMT0I40m+7C2KidzZ5/h7Vxyp0WU0jf9NUUemp/bMm137YKTD4/MhSwEO0mL6O3DsBSy7UPPvegOoF3ybEycYd4MQ8xXbLfkIwkbBixOxiZ3eZxstWvMHyF5Yf6eTDtwSvf2B66UqnnDIc1/qcUV7aqOcVH8et3vLJmgJdYqfaxCbBpTZ1T1Nd9K6r6nfBI39jbX3N1odfmCI0lcQrlhXaEXYNQMySuPoTvXAulPs9a2zcufW84vmoafmnMNvM4xWrd7Mp84a+b2DPyPahO3rQcSae82uc7oVo+W1P0S9umeC2JoAL04JEO1ZCrMwjyhxLtP/dFtFSZF0TOjKLveEUfuX3/JTPZ7tWU7osyW/KulQqXhZs/dA2vnmz5sjV17icn+lw98f+wvPeF8S4dfH2NFXJvAJWz2vA4c6UZS3U4nDrku0YBoDwXdty/paaXvf0rQ9UjLBrtU/CmLBXtdXH2WkAoBaeWAj/vdLAkU22uJOh+tSD9JfSfUm9Wa+QdUh0MuiATFCdf5++AGXxL8Cb+Tx3C7HS475wOQa4MeE8pQK5bIibrdkgSJS+iNNv6d/0TXqVR5xtqz4Gq9kssHIiE+lryoaaN1gfWe/E8AZ64++9FHR9+pfg/D9CyZMfLD5lrjVvWtO34Y/2LWRvDZlOFJEBUEa2whIsonCZENlmo/H0tPjzV35ye+XY/OZNlRF7yZQpH/U4tL645siWF3NVSR/lxp2mA/V7dk8o/hxucrJ92CkwOIHsASoEiP0cSvzzAE6Y9/ERL5j4CK1fYlmsFx8hQDtQ83O6gd1BT+KX16IbV43RNfcy6HIm4LAKSVZeYVPPhUz64WxCSQ832f+Nx2T1Rz86tdG01B9rqqYbZjPUje09Kgg4Zz4KBnTSfbVPIrHr9V99pKjPLcL175SmBzVpgiqjUInu7E66aHw4n9e2Vz34lP0YPeInt8AC+TjZ0kHyC7lRrMQncTVtl8VmFX9k+a/wIzsq5CVw6vw9cl7xLxWSngEnMsbmzhft8pWX87JXP5TpYzwRe9jB32/dFkyRZfc2RdJ1kegwAWIil5j4HGki26xB0ZhFVdXBWXsODj//yLa+W8o4o7hBpezNcI0zKSZPxP0a2XdnS/Y8GCiQePUHw1iPGqOx8JH/0pTLV3ElG0nosUnY0cTVCBATn4TLhQuejWW8YJ9dsiN+Uz2UaMc3VjB/rcLpQQTxvCfETZvsr5jly2ccv+fQX8NSr65/8s9TK1wndZTDIyCl5GXRkBVGw0ZJlDlc8mI321JCgJmmShNhYfyIqFXZdltfLbOiIpMJw4TDq+FvlhuH/ozzkkH7PPcVnT4s/Q7aG6+MnneKWXjjDpvSb4bY+A+IjcJC5nqgJoCMQ5S0aR3W3E9Szk18/EdjSvWGa8Mbl8Fb9viGYrJhJW/+3xzJfhQ5Sg3GpSvsslWfj21ZPu74vYfumpJrw1n+AJshdGAt6XdauDAVE8X4fBWpd2SyhN9emyb2E2FQjGmT7OGN/UovBq4aKTR2ScxNpS3zCkTl9DZDSy5+SCjQL7Nnb9MSbgL5PH7oDIv5V4duKn+R30cvALBmAbymANRE9guksqK9ALX1ALP17KatLr+4ptHm2s2aJi+GYvsPbNqFIhLzuOabukjoyH5mbVk+z2F8gSLLX7LLS/8r1+ovsdmzY+IAqOAY7Kan4C/y5CNcSvB/EgmjwQ6IvO+wQZxpw3Ka/QoLjRD1Jg83oXPE5CAyVQgvF9NAbJHI8ComjDZNZlIIpM/Equ1tVvf5IitYVMvXro2aGdbk4dk5eQ3vr3k//UNuie5zog+wEww6IIPjk2SVrZyPt8gIhrXlgp7se0jZQ96nXfJCXISa58KqeNmKx5H1+XpTlS+F/9TfGSsWjhvtNrXwvNV16155LxiUPgrWZDbPtPKMZuM5/ptJFsX3XgHouhCgWYSDM4FsMl70MP5W4ver/F56kt1Fb7bb8UBf6eoul+CocgxKgYZeporhYxXKHe/AOIxcSQC0I3nEPICHF58JqOv/JiYZPBubjMoVE9NMPiFauSoUgENt/48kecYPggKDTrS0tq2ZDkZgPJfZK50NWcE7KXgK8gkHWE5Py0yea2x1ik9G8Mzp5zfqBQv+CifbP/BAepNS9uSXNNn6GUDrXoDWQnyEmKrit8iLlorPmfj1dfi4Pcx/QBecrP+BuN2R5DBSMO4ULJhHNAxSgJVIflhX5ZKCqU+Ilxq8W44o/sGdYT/XtWvJUg98UNcF8OW+KedtJyd+0G85w/jWNVMxYQ26yfqDot9gPq94/gZN4++9F7R89V9iriMj9OXH3R24XbZysUvuXFVTfscmztvQmX74A/lZlOV7keLbplMMvmqC7xBveoKCibdeTA0+fOKwrHK6mr5LGxNAirWDoHF2x6fqPiFxaYkEWdIRvmOtFylyhwVSWtJlR5uRXRbJEQXjJvRpAsYcx37w/qey7xgIF8k3rMmwJGssRGSuSfIOoQMdCONKjqFvKDCoODJbqZ2FSXe4IiteJoXukuS+p1Y+jdevzLbcT8Y2vzK2U/3YZddS9bsTKNIKYuIgIZgKVZIAsYSQKpaFJs0PXzdG36Afe664WDFYGopPkvEW6PMcKpZj0AmkxtoYp5oDDtVXOYdBTFyVyHMG48jb4Ej/OVCuUkQWqHq8DDbUuOVSPqIChC4z2YYoBQYNkPHKl4bhRZkpUr6wqfO39uR+IE2MqxrGn+AEZSqydrWYvU/Un5ddVqUroRfL8kDL477wgk+7Colo4MIkfp/2SSyPxnLriy982wVHZtIkbD6CBic60QDZdv+Tubsdbv0cxX4r/FqmVwdAVJuUZKSiBlfWkppacGMo/qumIlwpVgVx9Nf3P5kNABw4jSHCwFewaJsaUKuQ+3xsfNuyiQNndMmR9CYFBg2QObZ6Dt6cVMmV/90bBBBWS0tyfwtF/jBHcz7Od5YKgbD95tLp0IcdcboUwCVkqrO+QlQIMBszi+jcu5ATbYLY0NKHED39EDI5IYlgYmXLpoH/l3HtYNYqSGXfNuzmN0SWWb+W0ZrZ1QcODBempcPPOIBAgPimtLToj666Zv2ygXpdbNLc3aou75JsLd3YuKpAxJYO1LEmx9U9CgwYRSj/kVf9SIM3WJQ9fDgc3LsqMZNyVzoLUtx6lt/zjAoJUgXyztvHK179PXQ7NzhxhrJl/D9QGAth8ejmokJTS9j5kfUy3oX67dB8zyEaPg3iZB04MHFoG+ZL/NTTTzPXPTKVp00MR+JhKxiSDdJTzPX711vTp18PFfrAbCUrmRCWn7vzU9X7HM6R6M2djaDyCS53U1AN2LIdvgMFQt6CU/+zX7m2bM+ISdEBDQ5s8pwqRADESHXHWGZNUcOGNbvSIX4OTOonR9VVCnygQMZLoD/SYP0jmgkRbDy+fZRLjbD4wfJEq+BWsVZcELOQn1/mDFLOC+J3bzY2Ze5ma8uyZxlTPmFVlFah7+PdJpAh8LhzgkuhKFzHROogkTZo9OwWDBOcWtsmeF4Ob1HJCqiaLFHYRtnvKDs1rYCMzcsIaSdcQ+Ncl3U7bsVtX0A1mw0Hng1NRoOsmpOfeMv6ILM8fP/JnPUlizdvjNOIyZmZ1pSM7PCYcKO/uupQoFwjq/JHfx8WfujHq3PN6ox2oybakuKDXsYk2MzXratQ9caxAUmejMSNB0XOsw96XMnz95wCx7x1Pe+wsz3A16oIIPZVMDDnQ2E+EaKbyDMm9EpCgR7H3634+6Q978cbacKi2WTUrlLzz1vR2f67uh9iLK/FqU93JOcRz4TfpgOM9VykAfozxjbusLVSgf/BlEuIdpWilAe4sfzLiGo2EjW8jyMFK4YmfMzj9HmavPgpOvsG+IrCP94Jq+Qqasxhil+2JQoEUdzREeZBUECB0okxM24htQTytoJAZMJqqMKLiytcUxTUPnItQmIuklSzvtEwM7IUg/5bbfVH5g7O/4D84cHhjF15VB43Xr58FNlqGiuat8W77n7803zDKwUo5Xk2nEXGg0pBpPRuViRpBzFlrf//ind1NBS+ZXUu8jrlkqRHAHBHXU9HxyTXD1wKfCBABuX5qSDJ/wG6FnrgJYSY1nff+y24GBE/aVITHzZtHT/lhr/L51z/K6zps1ZaWqrMzWU34/yhuCT9IqVN8j5+C6UgXuBFjGm2N06PPwPpYK1rSRWEFQqWOSRFhOt4TYwfZYMAfjOQcWPTyQbOlyyR6YyQQimjFDKatLDZrIRMRMQrADgTAIdvw8ZHdqRUhiq3kiyZNqLhnZiEDBU4PzJBQDY2XFHojdt6AIAnpZnNVU1W1OfEh1u7TNYDUZaX/TPFYikTVa5VHyvefxBAtverz2Rlq2nXKky+DHQuQMB/FhhnFY+OBat2le26ZaZr/i3l4Jg/sqVFmA2ObxxZNHBnR1umrKlqeLMwDhy/1+BZcxa/Nc0NS5ovlBN+nX0zNnhG3vOR9juQQZwcBgHyh+BwrvP4LvHei1EIcEiMJrHsCb4q9vA/yG5t+l7PL/fEPUDhn27G6Q7M6LukePzxtmFMCIP6BoCsBD2kHQZdAb4CdEUTy2L8iWsQglaYfoPrvJl9xytMhxU9a8ApRuvXKzTchFMBnLdsBu4uijpvgpsTJbxtKS5rsk9WJCMSk5kfoqwDWysO1DQNm2MSubILLT2KkVsOZ6rlI8NoDqtmSkg1SB5u0uQn4NVfkphWDg9YgBVYwWwtb+F7h1e2LvDytaNIstOQubVfOLJDX/zn8LRA8C7oMz+tyVqqg8nDRuwULhM2GNTKFJK85wNn18Qc81fNcePBkY9dCvn/+MYrKvRmd++EFElNx6RUIcKdjt9r4K6Z23BbhsPUi2BTnknMHQ1S6CBCE8iwjbm8VH9Xfm1lcYmN90t4LXtT8MC9mu6PLPHadb+HLhzJFwMKzqSP45C/gajgJloPFt+CxIKLSQAbYom8lQLMOL0LP60boTN7Fb/6tMW2lo7HtP5tvBWr5XDqPxLRAxi7n2ak/Imk+CdgqmsZZ0cjEUkcY7QBY/4USqRswZX06wPEwV3uAo82fhgpTWRoqVoAXJ0jx2yknxRjkwV3x5EcNyAZdhwhkrBLAgFMy4F3C8DPjQnmBr4WsgtxNmradkCynJGIO91BzqF98JBzIF4m7h7xyteGkcFSWdHsyo5I0lvrIWOzyNdefghc19fBjWlxZPLhiIpiYFrhJwJ+DICGb4bLCKg+eNjwuO1YN20/UPd40dIr2+fMxEu+9bWxpBgj4hF2yH9GxyJpb11Hb/QzvaZkBjKOfAOi9Xxu85FMAw3Ea4OcVHj2DCxXctt5Jt4Y//U7Yx/ajy2tL1VvnH1g9SEurN8af4ByQMoHwJF98TCPIsSz0XBf0FKJyp4jmrgAlj44Ym79F15FDE2AG3wxkUvsQdSkLPF+9fEfs3zZ2XgbvoxX4glf3nmlmN0w2XOf+9bvH5Le/WEh1W6bj2tQ8LAcATTBmYmPkC6RcRaEvQN501b18VC73T2uR6ItW3ANe1UKgYXRgjIZcB+1uRJjyGJt6zLJEdkHJyzDMMbhvmGmlyqYy+BKJpDCYia4O27FLVnXs3GjdMVlW5t41IBZ1swpTEEnvV/1qPErL10U9GlQM7BxcZGGAzeH5fiJN2M5Cp4xB0gNxOZYFhxaCOnPY1Z0ly05H0n92UUn1IV5gMyd0QBDkwoWbAW2HwbrbhO6jw48p/aO2VxVfirp8gzxwLkGHkYBYKLh4WMywn9xCwHyuA/0Ozlq3rcm54EPLHysZWB991dARf81E2KZTtMOc12eOIYhjJmDzzwoxqE0P/PLyLO/k2gzgEw0sY+CoyTPsVTwaX3+cGl5i/5rl60YCfbkSnNbKWay4jKzbMWtysgZlbTvjN9R9bY5ACyhmzkTD5EAZwFgzZQ2rMoZO7OK79/wHfXm918Xwx+oDS+poKzgUNrlUhLjhrg9QpakqMLdt2GAsMnVIaOCuwM75BdRphBOYaRIh3gnalRmpKp+boLLo63NZGxdxTS15e0yXckRYeY6D0APhbq9PG5Uyk3mE7DKCgflxPlO9s0UdoXj8lGQjTFj4MVFnjR13miy1+wl52CY1IsmkrunmZyyGuRdRLF51DUN6injo0Z4Ib/x+V3s4Y71YJ6LRu0bcfNQbCzbtuYsXv3qVpYzt/lkY+rv7bMO3DYelp9blZA2wwGAcxvkE89gooEs4MS8j+RXdHBrXzAV5SAtWfwAXbm0z9+fxDD687t/gUz20h9mHCVoidwwMaglRGTyjJtarj1y6MiNEZOMB2aourvie6fz0z9bTY3lTTRhQSPmYrG1T5qSv/Cf5tYVwxUmXY6sGbbEJF2KN/2HXfG37dDzbQawrsBnHMY2HNcjuLOauH9ygzzt5i/FL5q+jW4GhznIW0XF8zosrKkKuftZwcIOdUe8otQT4WRZ2UMyjA+OrMDaKmsKZB3bkkgNKDweV5ClVzIkJ8jsSKoQb8damnT7VQvp7muLuWkA8GAy1iQYKXyqGWFxww7HTWSyMGhHzBBW2brFr6SBxygAP6hYiYh1PAFSdpCkCTCoogsZ37wWRu/WJ0NEJIgG4J5XH1efxOIJFfosa1YTf/75CioMjqQGqyhS9vLuYP4FQiwbEG0BL1Hidc4iMMWXORELSS5tyPkuHkWhqREvikjFIkQD8dpAOwCVv5yig5u2r5i1KH/FG5AWvI1D7E//AlkLJAnZ/UhjGIKDZ+v91agSDl1xSg4mbIiWR+2D3bkVictKHWuuUaQojafyVSp3SmMx2a33a1It8rYLl41ebVrBwsfsstJfITJnHgDtc2zKnO3iBMg3JoTKstaPWNXa1pK5Tbvav39dPudL3mirR0rsMZi+R1pSpiWb6Wpe7foTjtuSHa4YJk2dEwZgtDu5JETZA5Edim7LipIiKak+6O5kE243qUyTbTkejymGAt0dfCJQiSmoQikHzT2j09IYr1lrGv+OTKL3pOy2qdI8nAKvJ09AudMgWMQ0uMUITu1ww4ME7g2ANhqhVZ163tlHPa5tJ9/xRlQ1+Xjkv0ttr0ze4VP04wL8rkeAWIvkgEZGfYTSpSBlsiAd4k00QhICj0rVbhMeUIcysH6HU0UsDlHb5YUgxFwMNQlkPb5fDsQvFf5hMnzIxLMmwArVeejgO/heh2/4YWVPIAqNatE3iROKyUVMLY5Z6Z//nZ1880c1KLBDakz1O8zW/DJQz1SyedlqTD88hioYdTRqRl1HL5TosrMtvnH5JNx8FzqGvZZj5SG05V2RYvnExzvvQkExizakoRbdYU3giQ8ZgFtFVaWIrA6Du8XekwFyVIqzAPMxWrpU3K12RRfcD8EunFCUhYgp3X1JrkwpU6HFB5cbwAcqOJLB2WXB0y5K6VBXOuKxOdxwRg6m3imvw6eW5IngzIB9R02E+AF4xeTTdPiwziywibMO8c1rLcuJjTe3LD9TjaZtTBh/OnN8X+xjW7EMTdNP4fCygZxPacxP89R8quVhAJqoX8xBZIciYGSRsp3KnP2EOYIkn6LBM2fyRfzn+gvs6yfkSvti3H3dZ6dmqF4cRA3o/BLo/AkPoASYiQrhVXCzErOoUOw3vo/P3hYAE9vFCF0kTXRaLJatQAJlGpH34F9+jh/u8Ui/4NMNwwnqtjmaKteMMzYuszWJN1BqsJqNacnsKo7pbKuteCNVduJfx1y+VoNfGUzb33TYoTr4e714IudT1aYVFnNuJyUFrMHgBDJwTyy26eXMINKPsYKTh4QFfD6ov3C1OTlHYUxnaZ3YD/fTLSnB3fZMJom1R7754rXvRUaEq2CQLBQnEo+HaLw2BuE3TO6BCDn7wp6i/wiSYS+oLwCklZbkE6PsUoMltg6gbphMG2P5m85s3PxiRVrRR7znr0sddWFnvu5Rtdo/Vc9Jc/RYXA1IpuHTuaKR63d/5Lx3ynPugSx4z6BHodOQKUMKYQ5XKISKViZuBPxxKMzjVA9w80Rr8W554M5Tmhv3C7t1Esi6cD+O2xUimQnL5WqQcQ144HM9PzIhibhCUkMTT6en+8CzLJYFsAmpwEH1I52W4ddRrfXBFymrvbTVXjBwtCpAKZrmSj7YFa0AReNT+eZVUCHI0XC0qS703Fu1nQn5SeWxGzHZV0G6eRn+UdW8vPSPDpeut84YLvQlYCHbb6xwfgV0az6TGSMBCPW9wRm2f6Y+XLtjWarfrw4jOcMTpU96pii4apEWY0Fqj4DsZOdhS2fHmr764noEQMwEm+a3Rc1S6MXs0vfJbYbFMkUj+419MBrhJRc2BowGBhss4yFitGxnfE+3nESFP+G6deu2F/nrc1MlXx7ftuYQ60HZQOEe43lTKrB9y5IfQrlPV2XNMuAfCL8Ri9ksTZJts9GxJcmCc7MuTElxiqZHd2VHDoIlDQv3EvCZAC6btjuHaLdTS+PlbBLSc5XbSDFuUgqAzbt+QViQA7KF0WQiKmQItj598DqiF5Tliygl9FeSw9kk3BTFHHzsSAQnpuLj+NaSmvMN9o09/8WvTjfBVRxY/29/bk66Dj7bh/DFAMSSIJSkPlWVzLgTb/BljKxmI6Z5INi2Y3vbys/h+CIES//GyyrbutGuQEJGh5+HIPMH/EXn7257TNtla+uK78K3Z5fM4k8PNm9xEeFwzihnrC6rQTZpPmT9kzeOorkAskwyaypYUfu+WifvpXN71N/wn9MDiu8JOL8VxmEX8Jqw2gl7NnQAqKrU8iyBA4EPGaX40zCXNb8O8+qVgYc/Cla/Zw0TWrbl8nEqh49KYXG7ERteVtot1b6wEfKHUoM+w7L8jMsaMAZGIRcGEBvpRWRo6glSA2JsWdTils/2C0OHJkNn7/BGQ3HSNATu10k2aZp9z7//7YiJu6D+jnHpqvpLOahdbNVHSYNPtA+fGETJANNBBskDMcGJaThdI7QtMlSNeJ6FdfP7b2bdd1fPKDAwjxZw0a+N7+Q+x1g5nO189kVp/c+yQe2PtAAWhoFn0BM5BScWA48cpz+5Rdetdwo+fwo/P/jeyfVTRy6llRMSMCk+hGBhldKq/GDPtViMfH5NDVhNdVPMLaslREDG4XZUHyycdwBVk+Yhq8M0ZNt4yleI1Nhtmjx5/t952aox4NK+BreEB2BgaGiz+fAiV9gKyWWfqmOoaz7I2PgFIwJpttM8HFkiOuQ6D1/oB7CQ8cjF70ZufPnnik/9QdBRMiImosDggiH+eQ2A1iJOwW7kT4XvchSiKLtbz7ioVyyPKEFXw7e/guxFcr5dvvwiqO+2xg3YtOGyBi0gJD1EWVSIvJPZXNNdCyBmQ+42XVWO+uOOB1TNSBSSAhDDs29Tvez4tF02/fuA0xlJYXi6eijW7JZK3L1Y+C6bwL44uC/Bn9WjfJ8nRbbSIgp+TYa7IFwwyLXcSte0j0+I8AHcw744Zb8CmYgndKzS8xDwPM+afGWJ/ubPhH//Qjx54pOHjx93pA4Qtglc2gqE+Lxi5X0hWyXjSluLF4MAL3WXCK1K2sM6EgCRT20gXzgFcXY8nhKQWKq9tfQsztwvwFf0RdXvWSWPOp0AR+hLHrV86r2uIX0WfTwKMDvOWqpOHva2VV71jYCJsJeuapiPOmP//qh4Hu4WzMpWAv4qNnbOcdfVv6Pp+GzKV+Qq/g6tjr1tzA2qwSzoL+HDankcmBClVKiTSHiAGBHEW1p3hoyslexnnrGh407bbBFc6YJcPAGpPp0aGoPENN2S7QBchMDY2chhBA81Ha7DFpKum+65MudbDNPaE0JYWrjJ4aouwTNCd9NhioXwaK+v3e78G0AlOKo2p+nW4kpWEp9Z991XnDB7S0n1z+ANEdg6hAJMaGJawTzRM+RphjAV24TV0uYvOJZWmtg01L6PufK+vTy+rfR0aC9uAqf7Ozap+FVxNv4o+LEG+GKhQCXuhAwAE6Xc6gFm1dCpeTce5diuQixZnrLfvZ8Vd1z5qLujF2IoDATZME/dC+mkEtEu/wHbr1iyyBxoI2cFr6HmtKqExerA28/n5AQD90HpsFzOY8+0V43JKFv5Q265q3Uj9eXEcd0dX38dx3eg5qcjT6DJq95qL96yo3FEIFoiR1G/iJZiDFZl6Y/MmLHS/LXTHFJDV7jcPt9x3Ylg6H14pSMyU7bZjv2S6bh/T//Vhce5jniiX7nqDxsRv5Ki+H22EgDgqUxGEL6NMC0hh8nMQcwmOCpu6T7FjEVs15+dEqeGOrfJtXmqHIJoiKIFupSB3GzjHdPZ7zsVhU/6o6EQ8awG+xJJU34hBfQxThO4UpEsRQCZeKOFZIPGfAqp8FpWG+3SzLh209IRt3VKVdBy9OD6229ABqfJ0ZZNt2HGXKsUzH+yK2Ti29dMtW3rKmhs31Lzi1/syrGd3dfaUnorbPQywmx+T4XV1VQp5teQHo/GQiKfAONuELoLx/XJ9boxbLep1kySHfdWAOxjKiqVH3seq6p+HsWqFipjp94zGBT+fM9avwXDiMptZLfomgOoKHqsSlK21lizg82+slsK9WPp19Fva9vyeXCcvczW3Yf9E897v+FT/4bRTh1OcTdb01Uf15jZ6G+sC54WrApdFrDidVKqDwVQwZJoyN2vWI4jqTIC53ncNfCTQy+VguB58DMImoecZioOOXWQDSSHUmRn11bNGb+A7HvuWQWLavscFZI0ZgRkexxKTPFn3zuw6Uo473Y0/t5af9a6L6nyxBEXSKp0uxxQ5iBeFrgKbAWgoaiOFzRvhWMGdGZ/+Z+DOX+/eU/hJjABPdYR9tb4e7uffgEyDlcGZF64GbOlrWyofvBE7gsdXaBRVnqNxFih0hy6HxyOp/fqaN+urkffn4bx9HQ4Df5BL1q4ue3xcGyVD21I8w1PD2iRsK0HNTdouXDYwaMPhf55kDYW2vGmb/mmfczTpyFLxijwkXMobdwsPvGiRWzbkqUUrXuTttNq9rhnp23b/YBYxgsq3XLNjJF+N5DL8hZ0yagiLkDEKJqGkaOl+nZ0x9WlK0Swtqy4F9FRZXAMecU7Lmj4kU4JLBNip2TkcYPiyRS53Axk/Agr3ECyI6jATYjMZjiKcjMQ+1IDOpywEBgfBVDVtQAV0QIEwrfvzNuZ8Qm/O0MLjIJIka0o+iY2ZVbXnNY6c5Jj9xGcWa2dhxx286HRX6A6rBAQnWJJ/AD4s7fh9b9svxRZvWf7JSnYJ0RFxUhg0P1rPPb0A+l3nwMZR5iL5fiuATd1psrU20WWzu4QQNQoRODvZ13XXa8XLHymO320d4yY4ZkrX4WyYX9TCxauam+ftuv45iUaySN10qvlWGNqUPEzFCUJnaY27fo7vfzp0+C4ezlUvgAzPDhyahDRzLhe2MNd6NwsegSB74iMH1gNFYZC8MQq9Pvccjbp/Maujq63gUz4UVHaGD/FNb+h60HESemmZcGhXZqCPBdXwyL0DETJLWKcnCmmziWD/CYYLB3eCIbbABNMul91DhkRd3gA8aF7/Q4t6BlQdYYmnK9TYxuahyPpxnio13cypFLvzHE93WdyxY165Yhw6pLa4vNHmv4zfsjf/t2OqXrVZrq7HpZc3lyxOkez+QjN5+7pyEDV0zF80Mf3KZBxzPT21fOKGWfXAYTu9k1dtKMnF2wiiytyLBUqpnlf21xh3e0z9t5LE1Sf9k3oFFbJG6r/0R1OEeoUzdz2+je1zT/5FG3/1zi8SKmH9RRCwBAWWLgyedo+iQ4AzB5AOqJfdHfMvX2c59M0WhuHNAkpbGrxu93p/7Bo2UmOTLzwdZVVft30BxB+6ZcQXcl0F3iFKYDBSwqsscibBrHdhM+CiWQaBvnSqu2G5u9yme9XHeUfh6xY0/CcLE4R1KbrJ6DqDG2EvrW5bHmmT1ImqpIdYVMWeYDbmWN7ug/f8OpFJDvTWNH8B9v25VnsQ00T8TCaLH/+zrbbhspyn1otw4vnFegAMbzYj/YUxATBUcn6TVho8uE+eAF+/qMnN+Hge38KIqLvK2C1t0qG8UJ3QEycH+KI6TyUU4BcVsjShXAazzzROjIxTYjf4tMyZcDfiu6D+LkHYPbP1r0+2K/xFEJw9nDFZxynFO/swBzJthRdN6jS8KzCLS9O3Bex4gHZdQKS34f4pQRQoXJJeTNPkeDPKix/jJDU1ow4llIfBGI1mIfc9FCuW4Poweww9FRp8Kua8FGTNryWwzWeDYbrP9pp8wZsOppW8bS29o3nrVC6Nt7auvIcJX/+f7G+1eu7s1Tt2n7CgOGUmRlIrXbceYSxCXn2DElykapkaLY+48jELK2pyt3Qa72p5M3/Y2+Rzy5f9Rn4eeXXu+yBYT2oHm1tXf5tsEpBham/OTZ1c1fGyr9PV0At8zCsnCMT1iK477RwYoIbE6+24MjEsmjwDMD2DTTthqtozPW72bTjHXK9/frhjxcJAaMFUlnZPkQkdPaUgqOiShu6qTCU6Fy3LXkMlM3DYaUV9S1N8FUAbsnksPhpOjOQx8L0+eFVHrOhZZCdDMvvVsPil5OqO5XxBndyJzgquMZch4c1W9KdP7OJi5AeZeA3vnaJn4YPH21DrIva8c19Gdok9NCOFbvShUOTVlD86LHU4fvXZVM4kgNOd2931TvH9jmQfvcJRyYUn7aufhFe1tXyhkN/6c0Ltl0LdRaVvEwJRUu6yZV57hwuy3WJPd4TEGu9Luj/4D6SaIL7Gns24kV3wYOsmii3CGCG4IGG3Xi5sVEAm0KnufveusSZ8ulVvHw1mRBBNIpX0eSLanqicE4ModPfqY0hq4ml+IrmvdX2mM1LlmgjxoZ8mcM0+PWpAfBLyLWAEBpykFPRlaxtjY7qwpfK9MUNBOrrGm+GGl3C//f9KrzzhPk/HnEpkoKo5r3OG1U57gLoqNK6qUwXgOtQ1XTIms/KfQBiM6u+NwWOrQugCZgC9xt4ftm1ElPWaY27l6+c8Hi3/emEBRei+05zuBEOILQpvmHNId9p5+5oS+veWo46TSF4L4WQpr19brXe30RKczbE9iycs1t66t4aa1/00yGQ8R+iLIMJLkNEoLpUhWyneCtP3oRYYerNH4eT4DhoOb7ZXZGtozOJytEAom1goafzqtJX2LDicEf7trfe2roK9Rmdc8FBPKPnzdvY3j6dXcdnktCHFeLFRQxI61ECqKbfAH9+aJxfuZXoo48hMhMTZMNfsQFAJvYDdybVbZzcXLXqt5Q2l3S4JVHQN5K2vDrR2roM8pReq7O6Ayz/Y33ywHl6sRFOmh2Nn86QQwlpavKZ4wagOVcFUCGqwUUgPpIo+EwDuaRdXW5CmlVT5VCma6pT40DsM30upTJH3wUPwDFmZhzVP+Kq0RDogzE7UtUFcFCvRg2pSlCv19qp79+WEcrQb8FNuRzXlSVxjlAinElXELhJYVMdXz6z/o6fvZlxf7fVAK1+jwdR6CSGFIcTzYrVZ2pT5r3daxfR2hE8+ENwtfBZ3G33PRVRMagPa+o+kZJ56LXjgAz6mxkQhT4PUelsvHAZrZccRbD3Fjyyf2d30ZKOyCAUnfa25bPgkPgxlLa4RemB6NfROcR65GBfK0vqZKfGPYor4yUUQmwASpMBfpHdDNWLjhJBEH6ElM38kxB318h/XVF6onOcbJtQ8jul3/+E/O7/yyGjjaFPCOuiWG/OKUQf+T+AFmRJ+Gkc1QSYOcbotD/fHmaPoeYRRzKpva9XUZMBPzY5BMtshkX+PBQPVpAdJAon1SqqoprOOgML0a9+fX0gw6/44eYeMOFHZUumDyl54B1pIWAGNlouZUE/mALQWqdLcEKWfXUNzaZp+yNONqWisFocLgyKu92sdgsn4WmgxUhn1L7pnm9d5uAqeQjk74uGSatYYew1yj+0p7f6n1N9y0hX13+HdNBzueWEOJwcxSTjhTcx+J2hqj1+jZR9euGsmjvHvZH9/Z/34NycnVHcAPGuTG1uHmttLp2LqPG3uhJyd7JzS66MUp3Cjx/O2x00x9ZikJKCYABCXWUAOuhywKw+Csig77kV4HUjgCwLzEMLcouXTuh4CCFEfjqX308XQTz6FitBKNGxrWL5BExoXwPUPOwvWLTr2M299dtXeEEFAHMLl9WCnZy/MP42lock2v+L/s/BuDMxXjHiCAr9luH7bwhseppKuYskidfjQd2hxM1/dSaurb3xGpWlpyCy7hJ317pxLHUc6IdITSFOJlpC61j+DFFWIdH250E/MZzEhtYdxaqRLSsBEMK+6TmSAtQi2vr1tXCGUigLGSUiATjiNqdbI+2xyKrhqBzcUTCjhsaG40h54Is1uSEZrlFMQhkKKNQBUS7tCDuhgO6Y3DY0RCaggFIjAoirKAyPyfQUuCg4fpsZiuJjr9N+u5kWVOMuL3YzOgCq1hF3+NWMN0iHH6mAu95uvHzl2QhWRJSNu01vU/CkJ+cpgf/Viw3OL5BFYxFy2itequijOhQPPZoIQmfucOZX7p1Vd8fONzLv/1fLhu79ZSOnRyGxbLfSIxHFqZ7JK1aXicwq3evt6KOYzJF1Ccx9FHaSDlrA79SbUSfDreaZ2KVLkkwHXQ6Y1YeBDJzYdxE/dhsexhTvgWy9l4dHivTCWB6Bv1fh9UvnN9On2E9bXj6xDwJp0yxTugWBrC8qUxeuOXxcHy3I6TNL7fie3DFPf/4JjHgSALgAgCJU6UeaRFOxbiFybSxy1/2hjnLOrlGNqr931XWDv78mwwnbF4O7mQtuCbjD/iv5tH/QjgMxijfMBWymHgYzgVdCP7ZrGdG7YF4nzQFxxBvehqBiH07lSJh93KsvuB7RqPIFlWoz/eSLhCxZC6Doh19wUI7k5jvR+hiVs4AMIVBVnH1wEN1NsrqHlJh5oDYs5aaLZBQmp3jYpcZhLm3e4dLiFo5KxLsaRTmoR4By5+POr8dIetyQz9ezb/S4o3Y6sF32UQD0Vi1F397O5m6teqHB/awcUM/jBkAMvrMiESF0gGDkW24H6IxbCqEb9w1xakhKqKaBK7wvr/qWleU5D/VI3BcWRNzevVS2PGqTXMC3r0pHlpGKbl1I24OgFgDwuoGcUIf3VMQF84rlBiIj/G0PHQrLHpABxObiPt6OOxk6/EKK9y7BRCTeQXGfJXBqCl0AofM2/LpbEGFnaakPqcO/ggmsRp6y8o9iXZ+3R0I1yoSFqRTddQXG3sINJMaZOLnQXYk6lLr0ebbxF+8pw8/9Brv4Z/sSm0/2jbxTM13ufty1+CiuSHiR3CdV5u6glMz6RPof0O4dCLKTAEyqh1WCou+CBA4U/A4ItnN5y2mOsorjJUkdu06+59Fh8Xv8IZ2ZiKKBMwJgCcwZKhKuQZhMCAHHZtyAtk13eFU4ruwPmWGDchAS6KYgR4slx5p4yB9UMlCwcqRtG7lu3K7PzQodwMwPBV0H7bSRAVSjyKH8Res62KPLq5uRdkYXRv8Y6mb2YouVrZoAVUAqlNhbejViwHE/AwtrSDCvouWydGRYbaZsluLdQhAfsrZNcAdBRokoKhRBZebXTs2M03nY/VnvoB78EZMVDq/F5L/RspQpZlnpdDWP3m0vZrezpwHYp0Aack5KJ0WK4B1PFyFpJ923sycfAPspoKiYgL4FcAodNa0KEBP3WXwLsgs2Wyy03HuRhPgzMAg8Srfwg0556WVAuMKqcPOXR7ZT3BUH9n4TWTP2r/wUQlUSYzrC9CTG7I0bp0YOKFb13hl04N05/Dp6i50gVCiKQrS6ol6GS52Bo5pRPPw1mcu/bTbcurRT56LwqScGHrkeg34JcC8GnUZ4dBJbLESniDGI19puDT1MjEkI7I7vPX7mzXtRlCPDS00gSXVqBOn1AmPjlBrGewRuyjY4RYe5m2Kv8rN2ZLihVo4KRx9umNkBWOsP0voDqhL0+ymgZVphYzJcSzTwdHE4jlaTb2QVmzIFeAjyiIR+sjvGgFXOB3euwx31cCEFIT+ieEij09yrQKaRcykMELvhrItJpHfabOTzcpmUD04Muv2W27RYn0F/NNbQRdrpSImDfE7IrLrfbaBT5TH0lPE6ZijklZDB7risGKPoMZAlrkREUQBQNlPYGUPlfGb9O//YnHHG5R1PQokDj/n2fMi2ITE47MTHbDru594D1Y3DQmnpSHomxMtOT+rHdTTAVih0H43GmIoxAR1pwrAhrG2v/xDzRjnRpX8gWnMPUU1liz+UAAhocCBlF6OI4TpYKK+1o87XRk5vv5rzkY57Z4k/CC6L06WosD3lCPgmkALnaAHbFiARpxS/YcDHMYtpMgkW6S2xOtFESh9ypYUovf0RrINozd5Fpcf/gyVrL03wAbyOrs+IKjt6Q67fr/mRgTZtyj565iPLKVp5DXRPLecSQ0m0xLKgmQAxUySOt76qmGnryTzo6oU5GN0CMULeOlMnjjzpd+v+ApDEJ4oHulGtnCBTsFGmuI3rMLNsdx+cMl+RwewhzbgWs207HZbftSftvFs7pHXrqPYOqlv3ShrcLcZj23NyL1b/liRphLBLJgqYiLz3uVImXa2fQ1PlXFpv76IFShEUrHGviIen/BcDBPcG592xYrE3m+CKMMHsoFw1HNIzT4Pj6m5/QfGuLp2jUpRdjqVwCezjSdoYuITEK0ttP5NwzNBpCl5uoV9KO/zyi2tDJL1ndTvrBqK9eObHL0LtlR8c4XjEPkKUGlFwhVS1pRiJoB7yn7nofbG6Xxrq9UCpMd3jesQJxWucOZ7o9M9AlHuNqA46/ulfgJ5qNZTtpa2ZZrEPAsMB2PlY8oAsvuPVPNl1L3Nclge82csZ/6ci+TZTpL6ZLECZH06fMXesUbYsyJiiI/kmMnyCNZUdB0n9oINGEixmNMcKv3qb//Vvvo/xfAdgpXrjAaZ5TQCZEHB1fOK0F2P4MlIDvcmKP6l/4AkAAEAASURBVNd26vB27emfVtHE65eXlMTp7kvqlL3mTjItzYhTjsWs2XiRm8xtr52OLLkN1NRU3VV9YU/H2PZ4vngJ7OJ+nT12/ASYGlIuAfbXWlbvcWPi3DCGIO+1iiUxd4hbw7yMqv9EYMNV+mzYs1R6x95J+9x6jyPzdvL+4EaKpOt90IQ1Gtz1AWXjqzFF5fmoN5Gqn7poQ6dPZTUEXUlDSj12lJW+o+OhFQSH7kvn6/4VYP3EfHQ0lt5aj9g2cCBCIGi5ry39CjGyehPuMm74tM+j8NnfwdG00Q8K7gImQ/Knj5G09MeVoqI1vTWgTvUjI+M56pMfPWagRe50In8O7DEHiMYBfPcAr8RYRROPIJ5aN3XkWfbWPyPhdfAC1zJRVBZe9hJ/0bWsKlJlyzIi40nxu0iO5+IYyIWimFakJuDaBu2vM2h8jr1rF6Pxo5v5FjPMC7fKbqD46zYvoe8DXF8Dx3U9+izG+9BCVwErDu1Hntqncf5fAeQqWMlR/K8YXa83zyrbknYGyuUSQ992Qcg2Y9tlddR6mQ5At2gMsxV5jFW+EvOQ1GgasYOhf7xe011rbmcv4OC1LwVD6ewyKNOBXnwK+Bx/842vNEkS24AsSUtCv7iwVEAGlOunwadtdeDUC/d0tu/O7Ie6wLu5LkWQtaTVtYjREvN1qoM4+Zy13kvOaOAmxiBiHoB4CY1kS7fIPIt0q9s6c47u7NPKXddXbS7dCL52ormldJZ6iNZ1yuWG6ygTz+DY17HFsu2Y/IZWDwNHqhZIEyz0Sbm4tscO1GUkLqKa4+YZsB6ey8DqBwBgWUSFV+C3mMVaG+4pSeBGDrxbqowY1SOTdKLLLn2juDTAQj8MUuJgBSyP4B7HnAvhcBTKhmBCE/opMdZEA6iwnElnuU48zpzgSlgTtygyHYRmN0wBKU61KNvcHHJpdBg1tcZxKK85VTXzwILzBcxzVtC+H5XoHuAUB5i9DI7sNZxzNGg6Bu8DwniQJFKiHVhXz279gDyqK2fAouWMblD1jTnQl2H2r6H1jzUoaQslOLdqCm/OCiqBUXTVvCnm1StN1XTqKCtNGA26+JC38adL0LzNd+ONL86AhfUeXVLmYrVuuw5yWEKihkYfSQyRnVf+ZORzr/w2dq28FXa1uG3IO9oc3iuLa0f8uOqc+jvXw19kBI/bkEi4V7xDKIr3OKLIV8sDIxJmh5EHX6wXDxFHHBdy1b3QK4M4QSci7A6Zessnj/OPodHyHL73zU1s9MzaExxCloJaFC4FIPp26HrR9niGc8S3LkO5JSfYdv1gXhZ1XMqByQfxwo04zOGgzLynH2vcBU4NE6IDtU6kCuDV5lJFATAn9lqbNf236EBIU6DYlAjsF5rgulDW1QOu/z5CVL8dXm+XQKQMeJu9P+J5BBazqvUvKQciP6fxU+PSe+/Y92zZwu+++26Pb2MTOgaqIx11vAQwE/yXeJsb+RL4sG3BGwAlDNa35Xc77qAPtngKfkkai8rcZk7+fM91oI1uTZzRgEtGlCbm7KOsZllV/Xi4ozl2U9MZVvkKH/Qu9Wo8uI9OmSnCp9oXrWy/q+F2aMj50NEl1H/l+fkBSf8Rk6SzvbTU4qZ5/wV0QJHumBr88zQtqNzkvOHutprcr/s+vnBrR/31aL3DHnZt53xkiIbDsbj1idmuBbZa+m5dxmYpRYUR2nyh6YD8Zo/O28mDp6BAMO7JTirKCZNkFaC+6oETZZ9VI3B0tlHo+C13bydPgeCFUNR0YiER/tWbjrmdPX9v78fARUgQiX4G/uZrgIcjDRpRLzbQW4NlzFyYOFu2i8fVQV59m2biJe3irH3kFN1d4veiwK8GZbxKi7wxC5jwwZvJD2khAjcaC75+aaPxDY4sgklKjFdICEilhzF/7kTRCd0d00A9jh9E3GujfqZi57zZmQcW3BqjlSshvFdL8NTUQm5ahqKpmaqshCzXFvbfWp3HYAn9KGa3liYClpF3bRSSF9Zg/XEOng1f+ffEkB78f7IkfzwGCd2FFl8ozz1LOLJtovQuOsI3xDdRBcgH7jpuGQ/EjLqHMh+78sRsXmIQXfyeWXfXA1JAuQ3J/tnxDrGtnXkghrSMEbu2SorOKU99CJav/m0ebR17qgWvZ23K7Hfanv2cxpLMJtk8+4Lo8IuKjNSCZ1IPPr7Xrl+zIeuhkwKayEEHZmA0Ik/q2OQ54FIGd1MEtwAw+3+4jCsADCM9RbW4pqNqNYiHrvVCBSgIudqku9i9/Q9i3tldcJE2rQVALfLGJcZkArzER0zzYqyiyK9oYpvAX6FsNzyxbyOWPhTNi3utj0zk3DionrRCegtJWrk1wVmKhmCmEkxU8w9QZa4cs7YHATLDbApM41tLZUuRGlXFPQDHW4sUyaQsVeT9OK7JsnoxQjEvENjlgRjAi2WCWzahd4c0z7Kgf4XphEeguYE5EQp5YSH8rKqnv4zOVh3XYS+ssDNG3a027oMnBrtdToVCNCYKdLQynBB2Jc1zhKVwOPrurc15z15Zn7tIpv4HMpFplu/cuYnbOydBn3kuMsmszay7PpTHRnwDk/M1aYqe+1ZKg/JWoEHUb5qD4PS6c5rveg6xsz9dm34fRJP2mxAvedkKJCtxQ9hj0ANZCyzdjUrenD4DLqvecxFIgNaxNFDECuF6N/mP9LU9G0Fg4VDQ780T4RjykXEU+j1sgxBoJT6tTXCP4iNWafjEoZ8y6S/I0No34krivAPou1FDvQHJTRMhXd0dlihCIqyhwhcttfDCem1qdQXSjb+BcgZvqlbsINlqls2VM5GHdYZ1UClAHi7EKB5pzTc+n6PJ6ixd8QVMqFUxbXqVfdS5o0mamEG8CVl/pueSfBq0BAAQsT2GGrJ+xTcKP2fyG1HZqQ/aena91bxPuhe+YRe5cetZcIUNSEErvPjFc8PhMFvphM3vx+LmxRetbv4516QLEFLUosrog/GcqEs2YUJcm1xcBq66onTHkv85Qx69hPvlu0CrKa7hhBzDgUO6rSLcChmJoZuV5Ru4ov51Rs33Fp6o37gLHxPUMvCyHp9ox0GwzQMyPDCcptBKjPdCcGSlQpfkAYR4hAR4CbgSy47IPsA/XVv0wC1mdK9qmzvnCOtK83svDcPWfm0ICH8XouJ9AKhyuALi4evg9GLcqPFGes4vadLF/W+Y6GBYfb1aBI4HZHMKdNS4Z73TBLfGEO8owmw8r/CCCw/SE8u2Ksx+GyUWt6sIO01J0fOtTcuKzU0rz+b8pSA1yMNlVxopbtDhaUbMMQI0cpAlaHQKsQw8YAh3TjTwYxAzFdIkdUrE4dAX9E3bXFRijk3bvDzSHPm0qbvTyXAWODa/AMlpZzhN5iy9hh5ASNL+9GtuQPo76SWEp32xb0Zy8l6FfnJ++pNqSU75lU6KcgEzbMmrnCTEdKh9PK2PWIbOD4DGkMfkbCWo3jOj+o7pHfXuM2CtRuFg8mf2GY07Ondvrz/q9ff0ZX5EZtgIWRL5vjjLI19GNrI5vI3AmbUyp2UAOlGmzRYxe1RUBKtvbRaALxfPqd8Im9V6mrxbxHT19kA76g+B4Wdj2504/6Ue5yXULaIlrsxEuVQO14hFT75tDjvVra3Z9X5/Oe62DKT//8KHTIpdfW6uashj1dMWvN7XI0BdBsSa+kcKfQtNnlMN0nO+eW0mZTkX2tutT7ur+bmILkxBunPvRUPGCdKumEpSLiLi9kOfPTGdrDf2kb0KhiW8jEI9G9JTEXkVW4KUS9/x/+z83X19DV7/CCZfvHQzW7p4CVLVJRTCLWfmcNB1QuqfYobxvynTLux3UayIl2iBevsLSkB9BFV5YXCHWI6hCZPEYaddb6gtv0V1cUQjEIwav27eK98kQLvlSo7+a2xcVQBTQXywp8D2hMXEpQGgBAw088VwIziXVpAxTKELnxhnKgFXz5sNL9MjrTXPmAMm/CDR0io64Nd1ljrKtmgGr1xlx8JN7wdOv3TfkSP6aOl2Wkc/p09DcDwL3NkFAOB83FnBh+3D1azBcimAeR+b8Sk3vn3VlKy0jAnw5N/en2DbR1fecbeLCxWE1UxUcpV3O96pF7eYfkg4jqln14Vpc2nQ9qkfQwjMImjYwm6j+yZrkEaoqnKmLWJPxduHF4yDc7BeA3it3E3aVQUtgxGKf8FViAYxARJexI0JebSfGsTopd6pErPgkfOy6ec3IibyBZ+m3Yy1tx/Z0j9LaY32GK7Kn0AtS4T7x2FwlcE/SHjEXSwLOANogTMT/0TyFxMvIlIQCTCbHRpmzMEoS9sbqQsQI26polqY4Lbb22cwrDsKyBIDZkshRIoPHTL4t88rp22vT7HKVhar+QuOI0arclgQIApOYLtyySW7Iv5DWUE9ZYK1+eV8Vwsc1HxSn5UJE7M/fZ2awE2uwhhew0fkohC5OlwkGkIZesBYa/MhywDf/MpYRDJO2L/uX0OSM/OyW1DOWASGN7KcBZ67ReL6++xbi1mykj7FDWvf4CoXuq3NkuM+TGMCG42fRLMlRy1SNflM8UThzniiENIWEhcKdnEDo8CqODYmMAy3EDVEobbilXXBpi7HHvbVdSKZ2xO2ZD+NMKLxh8OIIJnMWrhhKlOkkSJqwGX6+2+l37mzt8fQTHZ6wKWzhHu2yNIxFoHu05RxtMnZQ0XKGAoxnXY4VeBC4jReyqZ/m++Q38Lr7fLxJEuFGM9x764Yo093601LzdXKMtPx84T+amL/gdrEY3XSJnyRIsOsU3RZylDyF60Uz96JDvJM+OKR3fu67gXEus5wOJ0ZKAe3hxV+8IUj4ptLJzMZ6ZvDscqhEqKRuB+eASa2ewYdctd2yis8cWA3vvnatX4nM34B9EefQMbdNLzHL8Lj6p80tfYg3bOFJ6IEoje+/C3G5B+Ac1DhwtECZnCF9bgvWCuhDGt5omyhHeMUUHxQV9k14DCuDj28aFk3htZnh5hbV12vujSZVd19+6wzz70B7NBnuM3zJR2ynLDKWk4cec7ehv7q0TfSv7/kZAMR6i2qfF5Dyiadskw9bhp+nxYQYW5+ixtBOAr7QJLQYymV854I7b7FQC0WC6lmxss5dLVvNrQpCjJz2kilEaZxUg4cGKMAtEP0V2MtoVaheFHdHFP75XNvffc7SIiE0KTjG6yXeXCOjSGIvX9E+OOH0OM1nQIycRbBetK20chHZuTSxAVvgxNLaKNOOIiEX1JzSjjdlxoajZCPNAQz11M4HSDSVc/xE56qSxvh2TwVfk3DFI02QcwcMLN+ly7imJ1FFgSrjE8D99PUKzmujuk/8VNUfodAczls92dB/NsFPcwKV6G9ZlPsUMqZx/uRNX31P1M1xfcLXfWfHzGEiwxaYioUT6BYbn0ShZjkV4NkmNGf6Hb8PvarS+AYOHAaON5QeFrWn68e8ebwGp89nVmuSMyI0R+5IKYhvE2WYlLEevr56gXLUl01H3l5dUmShY0d0QQusnZDMmSAPAjaeLlQ5RBsFoqFA9zhquc5HjvIjmTCry4ucSn8THDPxF+kVlwjCks5MBFPkkfQQrWQtjkHvGB3Fb69VbyRGt0IZUkheiK+FpZflKlCEqILwyPW39d0+haXrPWNqv3XzGNqlyLf3kQRuKCvP7C9t1PT99eda318Onc6+BRJVDl/pOPws6CuXdHFaizCqE1IGKgZkjJWdtRxkCsMVEXe6Z+8YH9ngbFzI+3cXkbZ6tOgZchSVOttkVKlc0cN3L149aspVGuexvIXChG7V5vIEGLE2fmKxD4GnzFRPWmlZUgv+Yvm7uZlr6YgPnGk7bDGUFExdKbHt4avvnS+X9V+psl6QdSM4LVPvPgt+4pfwhnWrwWgtImujvmNr2V+/+IB5/M3s7YkNV2SVkYD0ulW1Oj4/cEWWVeds5tSK39aN+PbNkfYPpOiXLGRKQgVphwXRVvggRdRTcs1zAxVuOcFbDLf8QizBfQojE30loWV+Lzae88JK9YLsqqkWcj4lMoCNEJKo1oXedSkFKCjDG4sBg8jG9t8VGEfIk1Xhd9eE2pXffe/lV942k7bfRN0ZqfCaPcsfPieEr5kgvpNW5dloYDMSMOOH0jNu7RTYU7iuIHUOr4RHYzSA7PyReDMUKo9EHqz6/F4grsT8+8SicrGpZNqjrdtJ1VxkIo5K7KLjbgw0sGp+2S1Uf5SvsS00THHeSe1F9PF9MlgT9CpcH61fU0zlCAThox2weQEh3e4KfbeqgnIq3A5hL5zoKKvgmTzNOnuWvrjKjMhOoroAaNBHa27StOJVAdNX3t+jiJpD4BTmCdOaLkWngVkvwSAyfACsG0ISY71uJVtPuj7gi9dbVbqqWDe9g9ikuuIILMa7vwhC6i38EgnbBAwXrgaC0fi8a9uzvjhn1pVLq1dQz0vDIydbOdU3TaZ+32PySGt2EGCYGRq8SYDT8nf2o1YFi+0ENBRjISkkCZqHW90m+2b3sy5t1Scyti2qkBy+XWcO2PB+T0l57H/CD9BjvW4CRE2ae6gFC+7DGSCGOKG1L35ZkpqSniaovvLexLigDsJ1fASNc6ychVZGiP6h3Pfbl9h/b7+sqJwVBGyEU6uKNaGwciZeS/IrpXDyWRjWN6C/woa9qQJB0lby52NbE6Xw7o4jtvWq4ruW8omznlfnAvtqBcQhpNAZkgZozMtzPLOO6GluvHmFzM1V/4IPNKuwAt3CiSpIF6/eklS3nJs629By3xNpPWBS4duuYHTVAeyVIOylc2ejXizD7adESkZqZvOBnA1WcLqmuAqBXy0XRZAIlJli8YU0Mp2149OL5+1lC0V5o5utaLNJRpyIXxeDsq/cpEkO5HdtqPOELEAx2NIrab9mJl26Gvr2WNHIa+5acU0zCBfRLmFLK6wx52YuwOCqElLX9ubmKA66nsgru8WkCUuhO98J92J151rkbTxsBUnsbEb38L/iT53XpoVN6cwLmVyk1dHnMbt3cma2dXTi8ywCpdyVdm/TYSFdPX4D3J/vu5R1fZPmdfUHPhv1qzuj52XvTzSlfXLMTOfixelHiLkv+rjtWuy8z8WxoNyFHi1vd6uAJk4rgT3+e7NheLZ02pSRioNwSZzctZFFpUII+YRkPSeB2TkgPomuzlsbMqEC0Tb8/b38qzmO6+UFOVvSCkOR0qHZqlTEPVmURXEuzMVGAcBXs8a6+h/fDNoubkJol4cqjJAmizVA6QveCv9/nU9GfPZtXeMUTTlx/+fve+Ar7K893+ed56VPRlhJEBCwhBBBUQhgLN621rxanv7b6uttnbPa6u1aNV623trW2ttba+1ww6tXqvWOoAAKggIKiMhg71JyDo557z7+X9/b0hI4IRsHPXhQ8573vGs87y/5ze/PzkSuMZpQeRYT78IZhacG7Rj7jphWze/ln7PpmTtYlOSnbqX5+H2T2Dayan9cdn0nugQOZM98049R4tpUAUprkJOCzizsLWHj7n44KAq6/IwReUbcsMobGijaftBEoi9bIp3iNjgLrcN6WGscvUI1XNy1eboTj5veHJKDmmHURkWo2TuWFnIuRTUi+b3W6fkZw3fZcy2PfERKJ4LsIOvd1Xtb4GJ5+9Ixn0l639/CVmyOk53TmxZVeAoHjKiu1WRqW9flvG5x25HwkHlex7cRaDkYlcAGnumUsgagPdPSLOjpAy21dnHzlGL2A/if/ctiDAoMSmoRp0246b1mXf/+XTj7Mu1mc23FSFL8k8RH/oB6oeHeNWuhQOXSgoC1CNhb3Id56sbMu5e3fV6suMKeCXMGyefzx3xGWwjUSRd+aVWvPCtZPe+U89h7Q6ukI5MUeKb7DZ1jFm1aurgajvxNCE1BEvm71KLF7ysZGmbLcVKd7azeYh3O7tpVwX5vAx5CcM1RA2FDtsZkckEtTzkDQxDhXXItqQ7vEDb6/UrhhQ4V1lO7aob3LrYHwFqcT2ADVc0ms4n1NLy/yIiRl09WYQchu73qUo+df4+pDXZqstqsdi+brwfVdKnJ4fmpvpX/p4iXv3nnFIndYJLke/HCzme1nst7DCYV+LGSNG+G5hmpgBwMBRgnQXiOOyYFPE76LIRgeBWTPqk02Le4jneLgr1YgGYO+HCAow17GzeYS9m3QeQyqv7QsSoQ+VAqFXHX7gKaMl3wVRaBTil29y61feLnaunDbrDZ6iCLrM9uBbJquXY3rn4zVqGi5r73MP26ChoCMaCX5cVxdvLahL7OPCbBtf77k+LLcvymKZMijJRlVpc/o614vgv9Jz8MsMV0eC4+bu6j+LUb+QPaOeL6bKmfAQiXDG0XdvASfxNL7wQKJQDL8PNkXX0jLh/Fo1PgUOzcfCQWzO+fHhD4SjTkN1qTINOLENpcCrPLV15hRrWHyBOyAFCx1lwSCXn1CYR810g4BrPKqxKtlibwtbatT4wI6DFmaQrLW7MWLIu656XOsYyFJ+LG+9NO8Kj08/zssvHuMFxL+iHH2+RrY1bI/ccGUj94tDqHKPZDQcScsxNERfDwfff4Q6y3WH2g8GSS3pdXwNpc6ieGTJCRh3yYWP02AQNKXqQeJQsyMNWKL7PtpRC6B8yhCs3AUNxN6x1Q+YPJra8UOAq8nTgNW7ghW+fOJNsAknka7plWWo4h4+SS9Wp8m/Vp/njyZXhdC8ckzOgzL0UeeQucy1HlnTtqSi3X8wYovkixTyTwmOAy2OeCadKAbcZm7NAo5HYlj996K3cZOyw1LwiyRGjFUnZCzcjH4dsbtPSs4TkbcCcUq4Lcvryfx5S9lOoEBVyg4DzNz5J3Y/Xi5TurtiDFA8z16f+YFg850XFC1ewFHkGn7X4+34nBvjH90Ostae4Nm8Mll20lzDLDC6ukmV+GUaxGeP6fagXY84Amx70Y0NKyKg3RMxYSqLUEVaWUrKwAhPQk0py0J332yNH3eqRebYrCrjiqPAVPKxr4NImDp5LawNnFpClmbLkvMlLhk7/N9CBU7KOeF7WxVhYN7iecx7ek0whwXnSYweRfGE5ssj9JvzLi3zwPX9R7hJlSJ+0BNtKCYJiqxTZeQLE/s2Btt/Tcz4hs8PIZedYwdJFe3q6byjPI7HtRHhk5QMjYxsvm9s4FHX7BIzlT5AUrF2h7j8lkBp+lHOavOd4SLnES3QzAiZvHhyaHNJMJ2r+al3W97+c/KbBnaXE2K6jXoP3TJOL5z8wuNrw/u6El7+s2nzsBTs76iIAAEcyr0cY1kK084rREv9teNalhzquvxM+h5yQ0aDIisbSJk90HJGulFy49kzpWsgh1DrmjZe4k4OojTbTNHZGZlxGEM0DJqYkZrqacrbsiDdgzRky/6z+/viNN76UpgfYfYC2+ZQCvysTPlhwXcBkw0KF6BicJ5D7Vngr3Kt/LbBRcuXrhGlHZF16Fk6yT1HQc3/b7Ov9bwcho76JyudHOFwvVhxpB6s6cnCgXunkG2ltnTdFVuQx8L+qZo8BVKA9ccspUzC7+TtnI6PWSpgjU4TdXdHe7Wa8WVxF2ljH2e4ZgfJ1ebcOSNzrVmeSL6J2eZHnSlfDfWUjn3TBoMO5YpteHBkKR1KRV3X/ydZLMoZpknuDzGWK6HgW/oS0MQ6ZFJRkeH0+NSyEjFonE/u3ACWjuF6B2hx+60z6AfnhVODSHDdRqEiybMrePmTzPjBQLo081yExlMHVcAdE5lOgnPs82wO8Udz4eiiuH/tTSE/5oO8VTxESSQo5lgJlgtllTmXgI8FP8rTzB+1TlqSZU069XYSMOiIOPgO9WeRsUxX1emPqTvKCP6WDpznhh+fEzVLJk/erpQu2YNM7DXVqr+i8Y7d+BCgUD8NCmIIs5Ke6tcKEBoBGzzO9Xa5lXLch+95h+x2s6pXnQN3/YUnwX5/CQZ5m3D1d8vXQdfGJTAk08vHnJt24Y9tfGRngzqdBqssgETwjS6FneNGsYdsoe+pr1/PDRsioET8KoHbRONezp7Q0GyuzZp/Aee/aieE8JoUtNLJjnbiVA0eFuKq4e1fuX99UXr60X24cPjFTxCSmx3axgkubMHHJqckQD4Z8qWLH5n4zrIfvjZnHgx46oG6gf/F7QZY0IBtSgcWJKa5c3xo1P5r9+0sHvUP3ZThvJyHr6J+orZgNf0YT0NtV4BJ6xMPzdYb0UOUyuHQoYxTAdTNvJHwH27Oxd9TX2yeI2WyuKT+AY+8FPACoFdfx2X5ZlgSgh0wmeU/bceO2jXk/8i3AvdU30Ot2TcVihCFdpBWv/jah+Q60nq7PkYO4YUhmcPrpDUjmtmWlckC9GRECoxEs/2dZqM/1M2yxa7ODOh5WQtbRM0KQ1YPqeLXRqOJvAzGjfvhOmEvm5zJNG+/YVhjuNvtZqH4PL7imzx7jQsDbvAbe5pK0m024YFAia8fc9PZ5+LNP5kbUyGagIOT5yBEU35UbhqkdYAu7WxhPA+ZUPgAKa6EmIsUy/qmy7BmuvTL1/ksW9Vb/UFwHiqLGqhrGIibD4mdIR5as3/RiaYqcyaLOlpNF6XYCxplZt7xQttkoj3tN2mGllg/G8omf4rzoreeDE14wwg7MCjqqXh1qex52yop1kaWDsgQnG9/J52gDcUXoKkScj5FLyv/r5OsD/Y5NYbRluaktrHFvbtk1x6P8e66tbdnfp2l54ZuQ3C/cqps/zhv/XzD05WCjfxwAlWdmwz8jhIymQGx+OcNR7WkIEq97uy0flGHZCmmFklDzEFoSNfXA7kiRBUqwABjBp9enwZgRcsItZynAWGPjVh0dql2wp2USv/mlqwIB/Ym4fZzJANSNsngck7KDzHx4M1Om5jL1ygnM+Ml6mMwgZKCQiIlx1SPJ7IKs+y8fVusxtUeGBbaDjWOAgB0K8YbqHGgRu18fwdx4acxwt/3346uOYgPzuRTfqTYIQHfbMZQM562hjukVq5YvZClKOT97/ncH2vf+PiegswIs97Ug0vVKSfkf+/t8T/cTgYyZUgmU+/XhXoxcZfu+mummqwsUoXxghpn+4SbJijeoVg1ce16Wbf54yyFW0xM6bU/tD+T8oB1i+9oon3ZBk6IolRrSTNCi6utzw3EfYZDppZdsVcsWLreYtFc37LGshs02qysmka8SFobUKYKc1AGCHgIR2wQsg1kmxGZfH3fSPUP1lfy+YJKcipw+3asEMeOpSFNWms2kglQwQvSudt+TAoBeILLS/cFh/iZBX/Q2Fz5u1iF25PAaYOeVfm/J4tHR2udyLIidSLExTol6m9TJi9YMORGDi0s83W62Q+6IMzl85JzKAoBQBuw+3dCbB9sH0iWrsIaHhHpaJ95zGm5flJqe9mymFnkiLRS6vioQzagP2KMkXS1XI9rtQmOvpY50bzl3/7ezBtun3p4/6Q3p7fbBXSdFOczRK+0AywYc9ttKzDpGQrAz2hQEWkuJDboGBIamltlO5cq5rGbFSDLHJyNopIPRI/pyRdglbOsoEDPRzgp1VDoEnxSi5Y7ll2nnqtea9kn+vtCRSRAvlbPzmDQhvZ1376KxO36IXLhyaAi68q6qwkdWmbPESEQCb9mSfVnQDV6shlPqKEKEzxgeCxu4eCYpMjlOE97YGSvQh6Yi2UhIDTm1Q90o+P6o5UhBkl6S1X1O021XyQH+iBSQ55Arihs1AYiD7RT5BLw4YhyafAkiLKcH75BStDtnti7NTlbPUJ07o4SMOk3Zd9S4UeOYYpxVjQj8d0ihXYgXzqtWyxatsGR7p+MpYwkBwqpcPlkcrYgQ59WVqNE45IP8RVexS8HJTSDuaSiGgjaklm3PZzpK/fcgtH3EPSpeguW1e9WA43OrEArz8BZmv7CrPRymCy9EhxAtXbhsnnELa/eOntlvfpD5oYosp3pFeUqbWQJE4j85nr3eaY0Xi7eQ0Wn4ighodjOUEroffTB87XSrmSsiC+gV8eFAbAmkBI+yoCe3pWdGujWKL3MavztVVeXvSqo8GinzaLGdWrAIyT3FbUXgfIp6s4YogQViaeDUG4fmzBknZNRtDm9sxTE3OZYIm7XLSodmKENXC+kF1Mnz1+zfX/casDtt1iimw+l2BnIXjCT9AREbfxyIUZNj1c9DJ5XL8tnowRIz4gCNqhXzwkrgd1gGUaWw/JPxLcajFAbTSaew+4smZOtuhI0CCAe0iCgT0Ykb2ucBGb2jcjBwZgJ/Vw7d3A+kJiJgAvk0nWsvnOM08xmmK1XykgtfJQsa5fQEWPROR1bntVY/k+0Tu4E00tsz1lgD0DltxpF6QpEY9tL0BuKNPaw6IR0djsZoo9Y8eCMyhxL5dCvwX/w07BxlSDtHGya6QX/b/3VEOLSfw/IE3BGlqMPlr8UbzDHdKhrCL28LIaP+EzELmnUbYGXyCBvpTAcC92UOx5d/yqAXgRBXo+LoLttJjHLc0Fy2c3VZIzyqfSX3zBsdEltsz8tlBeERAyFmxOmBiEUcKe+LcHb9FvivO9Xi8nupj4nsjM2O524IAJPbL8hA5L51BNmH9jGOYGHvEPIOPwkVSaf7BWearCAckb0U+dEZcuCtrxcmEPxMkrHOYKENhdxirH8vL3PS9Ck2EFKU0gXLTkap5eMuPKS49itBnjKDffz80f7vNuT93AYHZREPBAPDKkJ1dDsYVjKxanIRyjnkYmVHGwS0GASqyr41j3WKzDMOfn0szOLnAGdNpdwBWUCnHYtkJ5k87OcRoPjTAFfZREBxZwJym9AjXYBQAuQR4YTK2TNfv1HtrH8ID942QkZj4LNuQvRtYhfDpBhTss4fngU2NLOVOvmqY1rZovWKe/RVBKxbKZYyg22Xzk1sXT2auDS6BotYOsvTRvWHmPkhXTAy2HLOg/A9GqE06Uu6giMW3Dc3wYX8PUCrWApWrV/IfwwEzS9EO44TMXK9ID8yy3H2qK43ZOb49oZO83dJpdCFhk2aOjb8xSdgQECxt1fMQA6JqZrkNCIcbm0IKBnoAGj4qcWXAt48usKxpNGsRikjkINT7xrEGcBSg44fwU8wehC19PlRyfbSgOkfZrI9pIr+bh1oix2LJezg6Bz49xwvCBUpkXU5g9YaRZcU8Cw2TykGHlshm6NMArTRTFYk5bHLtOlsjJSJp8Cpwc8RGA/MU3lpYGz60M778X69rYSM+uBbSA6xNwNcOwzAgCkkXh3v2zvyg5ddY/m6tMnlK1lIqlI0N5PxyCxyIgQQ4R5bGHlshFTgE6heRkCoEW5K9KNAp70PL+Cj4MK+kSwCIvzzRf80bOc2hSkG6cvggOjrxWgx+f/wnQiYKskeHDIPO+Pcnwd+cWldL82/6y6TgzUFMttVK85CnOV5npBbWdHC1wiVtje3GRoshTCR1ZJxz3IsddbhodSbRaOgr8hd5bJRZ2JiuSzS8ZsrvHD4YluJ+CN5L6zibpiYDPHaazM/bUy6OsWURxA3Rgw4AUuOlDPYuUqRz4mRSHmeMsHn0mhHIYGTiula7NxExvw79p41HueGfMN72wkZDRJOiQ6ffEGNqmhNDss515f/6cI7vCCwtsmHLNp0wWtGHKGOtnkW8yTPEmJ2Itw8y48qSDIG4tgSO14akxdJ+QF21QtNl12vlpQ/n+TWzlOpD1zyo5hn3ATCVQ3M+xiwuWygj3ogbK4ua1ZQUVuAJbXayrVuDF0XGGNXrryo8+F3+YHPgUG8MbfPmwBYgDn4bihbGpYFSufX4mXqtzc7nzS/Cha2vcg6M1vAsEL1D3qKIF6DHz0Mw13+oOvqpQKSAGBZygasxpAEy/fUHDmRI9WT6XI2y9sh/5il2J9XPR4zJLeJNk6iRoTJtt6pY3+yXmUHvEakpWtlf7XWsJVOlU/kyHWICJ5hWGyMExp1tpz+Obb6n0Mufg85ZexpUvpyHguKRyFmBcGeK1Jow7sNcprGSEQ4rHskZ1wKdNA35XBgHRsFzoHNdIhrEHgh3bTcBUwRn0d4yz/kkgUP9mVuOu45+PWK7DTL/ggW0jxXeCNxnurdCRPAi0Fj17P8oZtsir+Dt/ftpsc+c7K+qKOeofzsCEUzJUcKTCgfMk7Q99HbGNRZemSkYyOnAuIp2ab6XQMNDj95zD6qg2xNVxRex5rDh/sbp9m1PjIi2B9bfC6CG67XJi+8seu1oT6Ovf78CFVXrgHWWb1StvBPQ12/H2+5JRFxg+48MFQfArufwYT8F2XivMfY0SX554VLH1dkeZ6TsHzYInLAxlpEODKSyBCXBsQGFVdgs0R0IPYZbBMUxtVktV391t6LP6Bx9c9ssqgYSrTndxQh6/hBsOPk2LZeAM/03amllzQRAei49m76hD/ah/EbF7iyWK9abDfTLc+x1c+DsS5RmXZ7B87VUI+JxFo3JXYdGPvz5UnzP4f56zfX0p8+DTUhewzZu5eck6MCOq3Qc6087OoH9eLyOowDLiVDW3xdmcPOgs9UTFNiiLkcOPyTeGPtOC9ofh+b08eHtpeoDZv8gvo7wrvCVsp1bSNnzzTSLzmoGqtvi6x/cUpKSWwt/1qfQ+166htxeglPzwaSyhwEj14K4wX0+vyPpisOGVb8aPq09hyjsxtvvR+JTT4LCVEBEq0vPJKKo91uiQxOoFwkYvpqD7y5UlilrPK739SOzovXfSzf1dybZYUv5RPm7+upL/09/44kZDSItm0V+WHZncy84E5eev6e/g7snXK/VVNxFrSdmiTkMvym10LxuQ+I798NTc6GA+VOb7gyRfm5FKLRO9HeHm3yovuHcz6Ik2bVq8cxBct+wtwBc2S+iLdxo2zqLWOEysZCdG5U+eiq/gZ0D2Ss1raXZqgKJKlQcAu5HvSnjjKxVMtoMcJXxibmfqJt1P/cnLnxMwey7RhMffGVvH/gBMnapfrTWt3pQpI+DdpyOeZppJ/HV+IJQOrsBJV7QjLcP72ardSyfgaO+w7E+9cEjFYvR1XFIiaJi7H57gMT9Ud+HDnY2LK8iAELXWf1e0lHfG7zrbPUgPZLrOeZlIjFp2TJOo5zQNcFEgi4M8P7ut3Gfrlx5NK4ub3iR2BNtqoB9ldyLu/h0X6dfscSMhoFFLvIn6lOYCK+850AbNivmaX+0wu+f20AwHrfwSZ1Pn7wOxUluMmwotNg4cPvK/azSPphdhAa05ntomd/2zjd/XBNGAmY4p8ie+RPQsOQtLdr22LX2nEsYcEuNb/f7gA+AausVBLK4RzorkapmmI3uM11OSVnNgGMsWPZJN0J5MKIU8lGz2nulZOF8eGcWCxX9gJXQNS/EmxI6XgrPGqPFt+FYK2NsMs8aZmJio2Z/zVgiJuyo0sjKZp3HeIe71XCeqYLXRM5msLbxbdWy9CWUdo3eNZvhVL+22sz73q26+/S07G/Ng9tDFpNreORuOZiSeVnYePYxSTnLyAu3SyhYsfracw0C1oc70A6Qg2pzv848sNv7E+zvgJwglFAwEV/cBJU0S9EVSBikhEbcI9CmM4f3Vb7q+tHtyPkJra9NEaVkQ3Kk24dyHppb6T733c0IaOuHoWVCjESE2CNawkUX7in18XVfXxv2zfSM1hVZrEs2V8GV9SI5fYHJiNLRTTtKOliyGKWqWgTkek+4plSi6Z7h9gxPYYFY5PxYyg6Tnob5+q5c5iqfU2JSZ/lZw8fltpACJnvnPq9j6lG5ZE8mVlIxeclmNu4E7t+21CMfyB1UCA2ZKJJwELaAXyUwz39FksQ6bGnactcEID7lIg+k95hz3SYYdvIlq75iUA8w4YGUzzpJZxb1uXe1W8C7+eyLAARk/jDgAySPIQBQV/VfVhEO8A+ySk6A3e0AyanL6zNuqtHw5G/aTS8Gmat0jjHtS4D8Z2F8b5hCet3pwsQt2pXzfAQdKJ73GCWMZax3KYPjHz6nGOq9RXkgJgMJZnmug7QCkAWyXSiyRYIXBzQ6o+2tcVu31ZwXzfDBPS4X4UwqgOJ94GhgP45aVa6z9E75ZuAAt0JyNOR06+RF83td8qzMz0OctJ0ZedS4Xof8yTpr/qkBX+mPhA8sw2P2iPHGmoK5p6AD/JzagLTidsu8tHyo0hff4R5gLuYcJkFwn18mxvYKEjvYTuBT0AymCpPWvClwdbXUy/6Q8h8bqDyceiDs3Icj09gyFum2LFtfMaH3xFoo761OW7OZEKtZ27GLsrodfK4z2/97gUel56C/ifTbQGBoV+p69tE3+Hfp0A/5MTsTcAou3p9/l27Tq7ndN9nNX13hiLxJ+SIPt5pgbTr109/TiyJDt0UyAeT0RaI2YuWYX9yY849h7rW7fs2jnHCzA2UQCP/Qei/4BjsrZIT0pME6ND13q7H/nO5uZKr1C8C7lmuKuQtQPmo6hC/5zTcOgpE66PgERekumoZOEUtIXuHYMJ9g1nWn9dm37O8a30dx2T0cjJzfodN/l518sI3Brsuu059RxvvyE/yHwJnMQE/ZpS9cWD3UFmuhnKw/o9eII0AxPcXELiRo3rijpPxuYyqlydJnp0Bszaw5su7cR5i3z5g8+wtcmxjJFSlx2DqPsBS9ZaNR7Y4s8h5eIDlGBK1pLrBO9Cnaq1k0S8HWM1pHxPbV43H7q6cTlToIGBtWn6aLnghEqhhR0Y40Ts0U5WofWW2bcUNNTVS3fHi0iQsQAC0IdzVUkib7EUh6mGv6SAoHZPU8Z0IDPJaCjdu/n1d+l1X4cYTVKjj5iSf08Q3wuGW0JfktOA9dnMMTBfw//GXVOvE8JD7A1kKScEu4x8lDObIZwm7eINjOLetz7zrV1TtNvhljuP5WZriTYG4txCWzlw8tlJuCT5BSC5JmvZP+f6cVk6IBZRcm9mEkKyoXIF61605ed121NFQ88JdjZJTdyA19Lfy3O5ru+Oerp9O1YqPQCK9EOT3Tj558aASs7xrCBlNgC+ubY+VIBuQrE5MVHE+cAtT1wkdiuN94rHg6J0559sOsjYLbw0IRo9uFWQAADuSzTy+rie2mvRbtmQVqDBkG5p3tM1obsj+S46aONYckrgC1FtPuJIUD4VCUf7DedHexmBsXlYoadI9XHg/VScvXtvb/f29LqqgI0PuIV50qo7MJ2B1/4S8JacxVx1hW1xVtZTdvHgWDB7v7II8qqWgDuksLlWxqfNIbybmNN36FSkteJ/bDE4Mb1An0fKH0m69ax/Vce6JdEWqFGO29ZG1afe80JcRTzj2rdHZWuBhiK0XGU0xliaF2XRlDLKat7JUHmQ5PMVPDHwEeTUL4Um/0tkGnRRIHbhAx3IfWr/zg19gESPHlbwZsEBeASIWwA1/kyde8E+MIakVu32jqYRD4q5wmpZagLSL2Z5kHdImAoCSlztmZcUUW7CGZC49YtuKjwIQbyY7Grufl1+2uy9jpHusqopHMGN/Bp7aMvRrwFbpdxUho4GL2lrd9g5MU7En1Ultb00chLmc6htMEUsrlObm5khblS3lfj/7JinAzxUBca82aeG63uoV21aXwrlzpMIT62Hyh59Z8uL79LzcPNmq5Zez7XyyY7qwgop8/OgOXo+9iiytsFz7yUa5pbLgvhPi6sm1kUvDv03JLEcKgxvMmPyllC76soM3PhOKpERCZtRUA8ChslTXyMy6rA0G8qQL/uS66bvY+epY0zIDgZKF1V2vExxRnB/LUhlAibjLDUWrS3kb8h507VN/jykhh6brJQrnVY+Lw8d+PHJrBeBr5pLFjrgk8mpfD/XUDAX2DqTpjQmTxfE/Byg7bzjwukHsITgbC/kwH1mX+f2burZPXPx+vV4dnRNRWRDT1BIHs57Cf5z6Zuk/Igd+kwiycVbMZLmo6yP6uf6jRDgVtKtwmR11W1hECrAHjWW+7xbEPJaakFb+umnmo2O9tLPgn216rvesWrKgomu7XY87N5qUtDQ7Gh8F05Ou6sGDrHDZ/q7AoaJq2STIyxY7zPZ31R1a21achxiDzwEb7SfapP5l6YpvW36uJktfAm/yTY4E2V371Z/jIYGe6U+Dg72XTPEIMN/EZowaN8YOToQxYHfuSSLaYNvo7Xk/Lduo/NxEgzEvKKfMC0xmxeJlb75zkP8fa5ZKWj+/rOmIZO2ZeH/PHCMvu7BS1KwSjh06D2Lz2p7Y9bbrj6arIf2jkCS+ogVDOgx6YMba0TCQongkgLBmO27bTVlOxl0gSA+NfOjKpOLCNQjPge7nVbstURIIsW9h8X5r/zWPBzLzM0pkiS/kjjdTDSg5EFtiGleqzMaVq8RXn1/P7utbfgLDtHhAUzvFJj9EKyWaZtuHxmsyTwH2447g5MV7epvbd+L18NkXHxS7djWytt2zswJeK5iyCQIDosFSHssP6GexZiTpvVSb5mcaJzGwwYuyDHBR6+w6n5DB0qhA8CsTr9SnsPzKdMQpqnAWTWVcSR/h5Gdhc8ryYols6K/SJC+e8oFEfs7GwLGMKjuKFmBIQGsm3EuJ8yBC5pKYCRmRcmi2n2/nSRDdAbC/wEg4PYwGTX1Ennrh6z3Nqe9wfKhQj1WuTNXUYD5vNsOuUA4EJi/Yg42y87fsfN5zGpgWGMHGJAgSybfEkpsUJuGzjhBP6pNW9xveO4QYZcTM7oev5UXY9P6STB/Z2f5pDt51HFnXsUD8KsZPnM2CvJLChbpeG65jImKx/MgiRQp8G0HcC2Q4wzAExRqxOAsE4DkErDDTiu3EKrjH4NEnMn5yegV2HPjoihCjkEnwFJ3ZsS8+BxxY9RfhYMrHTCQesZG0k94ePzYbnyBG/nFA1nAa6bcda2nk5xffiYV+6iI8PiHIGpQB0eM2t8nb4fzKUZWIcpuuh7JRmT8OMpvDZwjG0zYPkQd/w6vzw/DPFm7sbT7FtlfGmAER0Avn1bK9r6RbLU6eFuQZJhf19xat2rm0n/5NvbX3dl1fW/vUld/N2vzXqGwHQV2Yjrf4jvDV7HV7FzKPj2Gb3b1sgpQPwhYHMWtlvzVX+RwTlN9euqXseLbhgt+Di853PU+H/gzSm0iAJjUTHA8U5QdhGTygWqn7rs/9R3ZVOPGQHNbPt6DoT5WCyGY+ku33jvmoEvk8jR3ymhHc2cyK5VHsNWAr+gp/cGSmaf1uY8bdn+xpjtoz1M/RmL03l9n2GMDP26rH6nrTVdLSsyuXz1CD0kG4aBz2VT3VrXcrnO2WHP77njbjnvrRcZ5yBLge/5nDnW8EJi3e2XG+P5/vakJGAxVQnttQnscsXp0xTAigXSc0+qXnrwFg3890NZBnWAmfO6JtknZJn7CAEIRVEDQQlrhl3xbypJ/yX5xe8emb/FU2osGVanOAoeWPCyrk2Bde/Eo4kPLjuNlG9IsawX/8IR8iKoSAQVhPKBRMjoWcMLl5XcqPC/4JNS/yD1yTVOdgPbNiuntELNe3qllE8+JAoCVC6NdNBA1FkxF7ACJt2oktCBD+QsoDl6z2L/Twh5T9tuTmQoxpQo7FNNdL1AdKLt2Lnb3P4mkPVb+zTouvBmc3R2qQCm6057gsAEJ2lX6OT7Cu0+ayNrBBBxAC2ezFWJk6ij1tbmJBCQliFMnVLLZm5f6LP8/CUGyFU47x/OnH02KdOsRxTV9Jz1dTb1fCwa86zXH/96FMzBTbSNwZ4X7RMXF/dF4F30b+ZPj1YsKy71qXebcPA9W1Zp9LzoqGDYOlI4dnJtg5Zhpt+1LOvrzPAJxm1UtTQWxbKRGzVVnxeUi3o5G162eDEQupj9b2ii/Djy0iRcL38ZE9GyG6jqfrMb0a7/pCSXRtXR6hqpDexy1AQpDheXmavvjcjJCk/02RlEIAF2Le6KU/dQqJKBCXhH6whG1fHTnS9BR/PDlR6Zh86B+ybEkrUhWzmhA/xdefyY5Z+lsgKCOhA/OJlzQiwqRRKcx57QBjyJ6knJWH44PEmvm9gFVJmAF7i/7Z4GdUXRxiUbmZya1W17Ab8dU1wUS87UZFUX8ikD/WAhRL+wi6j4NGRnFzQaASgtNbFXeiH8/6xYdOCSmhl6NFOxwJ66GzYTgbhSD4V/UpL+/qqlvpGON74hNOzrNbbn9WCmqXE6QzzRocH0BMXPylpC+0H2AF4IA2Nx8UExwuvJ9NJ+b8ZH3mnbf0dR7OO3b7RdifnkLGrBB80ZIttW5VkdUSLthrRKvzpXU53+/koskC2ZTICIYyRK5sywWCq23RprbtA0nPKOpeyDWcQBgJIUo9h18hJPdBvWRxv0XKbh3HF7FmTdDJsP4oPPsutXTxm0lF25Mf6vKdLLnv+sKnLj6iymqjY7ASVvnq6OEaEBbqV2H2HuMTFnBCPC3ApDFI/kGrGSKlVJTBgKXjL2ADsCWyBK0IF7e25Ucye+sTmZ9Vz9ph28rEo4DWjse02SAiI00iYlSIWOUBfurcEb4DpESEbN6oE2ImbnGExwH0M4o/YWF7ZhHbtUpNRxsL3PVsgnoGxyi1JaJFQmf/iaBjWNJBxOglA9yUlAu3Y+h9eAbGNBqqG3B9LtoEt0vwQDMVHviU34/jf3xYl9rXUlm6NTYcDpfhDYKLEV8fmLpox3uWiNHY8YNim3wUcwmWqN2XAgj1/qwgGYhPuPA74Ahzh79EzEgVIFzRpHjiiePT16cPs1VCLgnpAWoHHvI9P4P1J4GIQX0ahUv1Ux1EjHwIKRWjxTInZKSok5iNLViX1mjFF64fCBGjDvAJlxxVhVcGi/un0OwTQ0HE/HrnEu6e+AO4+eub31yZ1vNgk195TxAyfyKK5u01HbfK5l42uS74gczJxzygs8YXlxeB4zkPbD1lNgJP7jBpbBpTLijAKsJCQzyZdmkh43BKbOeQOETLBDgabQazeVmyRvEycPLzIS9/BC+nw3YOK70Uy7T5lWy0dFkHp9X5LEQZql+ZNcLPoMRhC/dFwo4bwAmAg9MSje4kNsKrVwPudp2FLRZKG8PSg2Ob16wokEJ8fkiNjIg5CRArLEwQYHlGHpOn5DABPCF5QgZTQSApDIbos0V6ORBF6HXmiY89l0p9pr4a1VKB7dgTQfxkZS97zXTjbwqD+JB/gRJr+z8nbr5IFkKKJaRdgwp9tm9jRL5ov8En5hfmRSNhmn9ek/39Df6Nffzz5vilzYpp3Qcwrz9iYSQk5DIl8ZHapDVHDrdE4OgcOOGjZxmpK584NOeQeOONdEGbjBccHwgqcIDVsDjFFrIoQ7dl9LH5pLcRWizegX9DrOcqJUV/NelNAzyplJY/BaNWSiQgzqNNtz/VvOuslqcbXAScGX5AuEBbE8yd5eBA5kPEGZpwH8uzpkXUcMQBRMlx+aGdg8FOSC8/B4fjL64urzLpMiSImErYnW28vnyfDg7OMuKaFkQCSlcOOdsrgkU8O8JVnuJacgSaD2TFcXVu81FyIb/IInSr9nfk+LDxYhDHFwKxRHsEgOX35fhVIiOO66pKkXSxd4CPcV3tiMTihwDOCeRSOQwHtBKRKl0KBc5x0efEbHL4PsrFmUzCJ7iHbvXSawlRObep0JuewdbtcgxeAFeKxgMBb9v44y+G2PaSBmS9br09Uft762htwX2JW/f89O5NcltJk+qNhu+WgiiO9vhHf6iYMSI2+I9/iUxDef3mg6W/uXwA0/AyPPQXNC39omE4dSCKS7gGpzGbISOzJ4MDRkZz3uY6Xo1lWw9/78DkqixJ/7gbajkXe+0/ZVd+U5m8oLq/YlpP3aRNzK5eeSNGFgNb+hpbu/+UiIeenu3reUmwnwtZ+hrb8eIbeKbP+QjeU4SMJoswzIDWuhcxYZPNapXyUw4IfO/UiRegVkAR60KoGBYvT0GmzrIc7IzYQOh/l+v0VkPxysRIMVsLywHEtgHOXAl4wLyAkp1EE1idYd7CwoB7aws6uwdoBk2Wa9W728WRoBq4Mw4urLPgMXdfK7OervXzWcqFab4eroMrI50cJEXbPiqeB45DHcYIM+KTAABAAElEQVQ+BU6Ss2B+TGWIfEM+ToR1unkEvdJJcWhA9Bx0b6RzIz2cd6y7BwdCU/BishR1hDLZZOZhnStb1eNGiY6+0Tbfry2048F34Se90OyNivJnzUP33TqicnaKFrgQs5gNqRNafcwszaksxfH/gBMzn7+rfkrFdDfrhpZ9a+5OK5jbLeawL8NfmbGUQrfumNNyy6OOpy1Kt5WzR3mRia3M3rNTRF+4pCln/Q/qvtLA0lZkOHnuX7ARXotVs1DWpW1DRcSon27Nqg9hdONhrf+VT6ln5JPKpM+GAqqjt8JLyl+3t6/Yj536A6Ji6R94+dJ2ub2XB99zhIzGS2ZkKKE38mDreFa5shC6gn1dFd69zEnSywSrDILRhapgsYKtpwxG5uPbmRRSmH79tG5vM+7A7w3dRsyq9WxgBevAdJe1RjgWRbuGvCRrsOXjL4SsTPt7tLf7hAoviDiGmOqaJsYJ9hzcmLMFa6gLZaX9H3qvZrFBvMC/s4B2s04PftH4UpqzU54Cp6NCSVHOETBW+MSMuDpwYM6GQ8z6ey3TFo5lEjizE5QOTeEeiBIJUWdsDfDFtcn6+y91rnJZgROSZ13x9dTrrpyp/nzuV8yrBJfLQeCKsD/pmLwolkqliJkvrM+5p2L6kqWac/fCKaGY/TX4Pd47UL/HtWn31mGe68QS5FFduuE6WIBC7Jfn/R+7DtEHE1/NhZ52tzq+/FWI/hs9S7rBddxvWjUr/qj+afUGfjzj+kB/J7Fx9TRYpBdDCvgbB8KuuX3ZNLgNBinwf7B1n9ynFiP20/Rg5AE5f34Fru0++Xqy7/5aTnbhvXCOvMpt6chUFZmaWDhcPRCzbsc8RD//fBncEZ7EKz3J1xtBn0QvvAw9mf3yPl9XoS4ay+yVe5log4IeM0uEBbDULB5NXBz5zSUvddTVl09EDQTajlnLw0pwbgxWDP+HIrcLKOSJgPqcH9JxMehNqFBb0I8hV6r5CGCxb0jWRgVbqsy5ae6n9dTUB2NGq28JJR2LPD2XQavP7PWHmDI1B1xZmNnLd8Nw0V43WWBt113utMG147fJTfUEzRJQlBA2ke3J2n4vnXOrKm6BIaRVK134i27jAiLGnP1rNRI9u53HFwpEt9uMu8DDH9IPs5909Yw/+d7TfScjC6sLhlzXvBTmmI/hR/yJkhPZyLNm4wc9Ueg+q5r9OwxU88D9Py07R5cTltiJO/p4JG4MPb35nLwLlTHfxIa6Ib3skkew1oTYsqrAkr00zbZ2EbZ/H2vr823W9hVfgpyQpuyM/5Bf3rNjeUeF72lpgLyE9yjGVrzm3GptnkAm3o6B9/cz5YFLt1m2uRm7rkcBu0RAvN1g7lfv9QmCQLiK9dwOJpD6iqgOcVEhVWdQqlcnPL6tv+3xpeWG53l3o56mAHy6/ELcExExKkTZOogYuDXy+4KWppo77v/415P8KWdLHVcXG+JGtJEILKlTyUPd2XQY3N1RP72cW9voE+YOIgaLJWxvrmVze2NPRIyaCgCyw7Kog+/tQj5/0AyUq5r+t1NGCr+9ZESM7iMOHOCF92CGit18cc0pz/ZyAlxWACqTbHOLO8ZmZhFsovUw06zBakQio+5EzG8PumG9pPxR6F3/Dq79KlfOucYHXuilHbq8oGKpck7zLYWzo0uvKovnfO3VEeaD/5u594LPjNxUWJj41rxp0aW58PY9BBMCjAjysGRFOqDveQjLeoY9Ti+D0NHrunpPEzL6USgWk0+8cBNe2jaWYU8Qm1+Gj8TACvifh6DD2oW8kZhZzC2JdaQY7yjHj4mIITkIuS94IAT3ZSu7BqRHSHvgsudiduJemStHKK8lESsiotQ2/SOsdGpHhZsHjqsSbuL2lF9dXtnRnWSf8TajBs/+WgKBoudAmH1C3OlkS8Mhzg+FsjWhbaYoyha5hK3GLp9OEEV45pR1kyAeBELVe70gQOxaiQNvfsL5fVZEd8xJ6nlwsWHWPSCElzs1Kz7Qcf50nxRbLHYuy7MMaSKUkBMQBKmoilelliyuQD/W4Cc6q/H1l3p0V6CkNp7EHsBePseW+fWt8Fc8XXszDy4NGTPcqxQl8GsshL9lhMLffzWr5ZK/pu+fsj/i3JZvh/8REeK/xs14bhokE/ibREhv3CuhOV2bya6NH/8pA9aT3wGt4zPsyFuhZPd0PXfKgux68b10TKEPFvwDWNApBptPSsp+l/QHLnkpbid+hQcPEWFBAgbfD6uzImy3RFxCcCKFIcsyXfO3ugrTORKCdN7Tz4PUn1/6QxCo22zPeR1iwjE0gcxJ+NnAfoGoIZOSfNDznBeb47FvpN9/+alcwknt5Tz8waghiV8YduI5igYIgmskouYrqeleLEkKdSFijexM5GBZ2cYTPwt9TnrDrvEQRWFOBKz1WAp1Ij+ljuqDgePUr+PEe/BT1L+SAsIxT5Kthwc6PF5yyS6oPX+GbeKj0F+d11M9YvvfU8iNyJQOj7UtuUBTYFkKp2ymbGP8uKXYcBEPxXhrOKJc2VM9dJ4CuW3B/xveOflBId2c2P7C+GT3E6S2msJvQNTCg3JYW4h1wJ3mBLMRIsUNqDSgMiELu5wS/GS2oj/4rciWqWZLUzpbWdG5DpLVO9BzyFX6dyiFVFbfNLe3Ov5lCBlNhF56CcRMrx6JdEeTJz04i37vJKkPXPYjy7HvgTVoIwhJgrgkBFnDnCn73vzgYrDh8j2mbf7CktRv8P8evP4g/LOLf9PqWdfawr4TXN7vkLxhlZTHa1zbedB0rO9YLv9o5q8ue663H7vjeuZPL9qL/n3Rdd0/YAyHifMiPRj85DAWjIc4Tg6DBBMrDcf4XtqPLv095xcf1IoXbXBU6ajNRTZLOEXkbNuGqArS/xg23AFcOJ+9h4t9zFqCuaoip9DBDJMcUuGu8XvJk79oVK6a2LUucfitcGz7iyNtWCWBUjtOwCNZ3Vz/Bp+4cNvJOl4KE4I1+XVsbmeRPrhrPScfB0vm7zIS0n3YqFxkQP2cVbn87JPvSW1wr8Ye+W0412baTQnfl5DuwVroZLkowoDw0fRw6Nw3UqNf+mv2/nNYInHatk9upz/fNxgHfx+Xnc89euTRwjnixz2qhvr9IvenE+/Ue8Wu9fnMiheAfTrMii6k5K7YbvpXWr687Bxskh+G/DVD1vhYTyHMKrYDE1oJC9+z4fsveaZ/Nfb9brGxYoIdZt+rLa6/oYwPQIF7vKl9Sx4LZoxIvxp85UUg6ZOAV5YN4m55pqgFS7+2zTGezHngAzXJekaRAiysjbCFkyIMZkiKlCFkzVUnOhuHyncvWbtv1zkarxvQ/gLe9ZtDYdAg5Am7KvtjIIznmsK8OxTUm5iBnJgqRWQIGVJbU6B08T6szS66i1NHTzGulud9DFDwm5Ti+b1uZoANCth57AZJEkiGIz2uALeFfq+Zjf85RtWCD8pB5XK31SSG3yde1Dj9J0JB5IzUJvRJlmwngEQULRmPXVMXvnXu3E+TRXVoilgin9NYUqLq/Owm7kz8cvOEG9eGG1dUy63bgM/wujATb23I/dHhro39SxIymgBRVQHMcjFKUQO7efHcA10npT/HYlxFwPwF+6yki0miiT2gX72w34r9/rRH91LUgrVjwfcRRrQPYsMv+/t8svvNXy+bxsbwD7OEtH3Nh9gT5azvjsSkhIYjLmCZAZzI2VboctqaWpxoxszF0YFsEsn693afc2pWXQWV51zKBj9UfSEFvmMJglQaoXrS76C0NBPxWH1o+uXwo+pbIfcH97r5S6CenaVtrr+lr8jJTvXKD8M/cBEIU4U+eeETZc3fujpVC/8U0uRIBzGkI6Q01oodijDP0nmIJYTF2oCxlgrss1akVojjuwgrbGxMP3DxgfTPfmbqZ58Dges3Q3DyKEFQ05Co+8NcUT4NP83zpYjGTOCxAcHKJ6huzGxBWN1jwpIeXJtxOznN+uVflpDR6MWm53JYMJzPPLmFHbUPDtQk7u5deaejeNt5UK5S7exanlvWDcK6faqH7i+JxGbdikKIs/cmEubnU6YPTtShniUOLh+redKngd/3KE/tvwuF2Planp0wRwJcr00STgbeABPQLC3YtNuYxto69DpDNwtnribfjUepf0RV+A+AgLtlsC0TmGJbWiIDL2wKYguzIEJejzDZqF668FsDqdvctqwUes6PA/DsBT6xfGVf64CX/gWSx66WhPr6R3JWnb1fN26moCfLsXwQxygIWRhJ4AggMgq0oSYgemRKEfYK/Dr2eg1M1RHMYXPjmrbR37l57w2/5HP5KW4nfe0L3Uc6ukirdxu4y29yKJo96OT8iAlc8/lSUCuKoJGDGvPi5utIxvKF1/J/sI6e/ZfSkdGAuxZO8CWatRcpsEaxkWyC76PT9YY+HBMmE37jsW49X60e86L2scZiyinZh0cHfAuJG/qEhTuRQGJVKKB9bsAVdXkw0KqmIdt9NjuoDow7jSZUNRCIBZAOTgNYnmnYMIi4iHeSR5qGMia+5YUCsfnZDEKq7dLsu+NQaVgMS645WCJGcYqENsuyvbG6Fhiph+RQtC1ebcbN28H4BIyqFTcORG+rHZVrYJ95C+aWef2ZULV4wctIDv+/TLLKJrup5VhPsEASQJDwCdhk4J9NkkfgWGMjpQw2VSlguRyAAtCZ+eIm+C+g5HkZnnYuy3z1KlHz6oWirmKKqHs1twLEuj99oXsjzd6/I9zrFlixAg4SuhARo0LcVoc2mzJVOZTDIKTOYgH1J9MOfyOX7vmXJmQ0ARyQOUhKWouYklRzqzfWB52jC30tdfGpuLXFRcoYPqG8DvA5NkvEinzsp77WMYD7iJhZlvs4PCFmiJplhQOoovMRLEooPUQ6nCqMnnIIdN58ugMXCv/jBhTiEvnExZVMbqvWhWQGpUC2Levj/m1KXiFEqnxx8JlhJfan62Z/rmE8EgwsH4PI9XB/nut6r9i1K0Bjzk3LLoT3RIEJq0qDEavFetlKKBSEB+a5zv0AKJxtVVcs6fpsX45JkvAkpxo/Y6qoXnlOX57puIdPvXAzS4y7d7+SeEsjwH8sBYIjIu6L4Ls3ObtYI45r3cPsFbuG7QEnBh2wT1x8gsZhzxSiHvqOs4H5cYXnSR+C/+O1F4yUr7ZrXl4MnLFZom5VAYnRHW0m+6SELjA0/CeuqQTIQMS04x8hiRB5pdL+Cf0crKkIWp8dDAU+Tuf/pUVLmoCOUgtXggki7BOEQ63hPSNPk2Gm4xn6tKpX3AxIE6Q3VH/XQQTox4N3V5QVn19DBKfr/UN57L9kdauvg/Vxml6ykBbBgApZHd2YcSXUuBPhd3T3QCoRb1WMZsFACp80p6qn5wlSBi9LPodzmgrpmAW0aEtMRNO2H2rtq26np7qH6zy5SADo6EZ54vxP9/e3JJ87pttZliPCzACRl+S4nqof6Ck8DUCFs+EJcxOclP+gli1a0Z8xkTHC04MfBzHJGshveFbzdz4NpJb/AQ1LpVwEeVB3tpGODGSNkp3ACcPPQxBBDpNWL+7rzNQU5MAxrEoRNz+6bv8HYyxD2Ci5EE8nY67yQHRSJFAh5A1oUWSlEaqGBuCNNSEhPay+1lGfiTg+yLNavvPRUCDwaziWhxBFgjTz2awF8OGYe5YGHZ0KlnW7c5CVyqPZLu8onLRBTANwSjfcbU7iyLn9Zv/6M7nvpnvJcRbEbOdYK3BWdlq8BOLh9pPN3cnGI3m8FIAYf2MNdqd+QJVHb3GcgzOVqhVj8MyeZM8NxTksFq9xx0vPRhz5clG9/FxevGj9QOptq2+OhEKBfFfwnQN5np6hwZNtnDiynl7447q8o77/mRMcgUxr6WkgfuysERmxytWJUGailecP3l2F+jNkxWU3IKfBEz2NKVk7YsdLaYk2hVKopSGrVoqwnWN6g7qrNx2sOnnBOqd6eTqXpU+2Vb1UH5l8UZ/1cRQmZG1bvglS37+1vvXP4tTpl4FD63vRDb4ViZlqkQh4JsE5HUAuaXK9Jq6oHjoHOiai0gqMA0o/5ztmA8QF515ea7TuZWGpgNkJuOiUb0Cr9J+RisVqaSqC39xEGBaAmCLGISYVbJWU8ITeAu4RscdKM0uk7b3MeWphK/QQ9JwJonm2Mg5Yuy5Q7An7VmZjJAIz3ujr7n5mPO8bGxBYjH6wCSnhkSP/5UVLmriOQsRM1Yw3VSASWk3N4yjLece1ZJ+0C2KBh1zh7u26SClBCqw9WxwhjyEuJNmzQ3UuY2NTm5C8x10u3zTQOpVgMAwlfT6SWfdr8XdtLxjQAfQRA4d/R69cPgXw88nlu/WpQBZNiIPIwC6HZCfXag4WGbXLi6K1z+UMRF/ZtT9DcWxVrj4bv28OO6ZW9KU+se35TGPHskm2KRXBvTA97sab1AkL1gVKL67tuj56qouIpdKWvhzYJC/CNxGOq6vG93RvsvNqrl4Ft5n9YT14SbLrpzs3Jq9mg2E5z1qGZcCREPYZn1z5HBnyRuAf8WbwQMOnBIWVDNQXtzVR71re/7GxDzYx1UwAFC2z9rkTTtLECOggxvqkhU/Kk+b/VHq04k7HVX4LSgZrI1LzMl4MMXUBk2IfnmylnM0sBzq6doGSfDMLpVw2Qc738yJQ+rvJyLVD2aQ6iy/rcB2wfOnvE7LOWWk/8F+y0vKtQuNmuuJOJteCk27p/OoEtBmQ5Y/pQS3aefL4AYmZiufUBDS9iHbok68P1XcSyTQRWw7FhW3XVCweSL0BWQpi/aTBG3bXQJ73nwlC1UxukY+X9krIurZBWa79XJiT8qoQRxBFkrNU3VJHsxoYX6qXjyIH0a73n8ljWfb+gwvpDxzopT2161sgkUnIT1DM9ZGSp0VUTanXsYbCJRcf7A8nR20gaa6tNepPQHKq1jj7vKhal9VT2yef5znzopIVeguOtiPFli0FJ18/3ffH+ePuyDb90WxXW6EDMx7p69oVT0Qsuv4HCyQjJY5nQ3HGxQ8NO/6KX2997AhTtEjmxJ4D1QglI1h6/h4+cf6LIGwPycXz7wVe3y+Y0FdFJWRognMbNdrO+SV8Hd1rdq2fyKXGPQQd3XZWjc8TBRwjrBOW6ybeJ2QnZqXbUWDioh2qFIgzRykS25KHNIHdPgdiQBVY3KQLnSC4lSCcbj0QM3IgHa7ylzdi2Mf+ACvPDX6G6P62w700kiHOVCaqZN3jvMzi8D7XJs5/I+4GdtMKtTwlk7U0QlG8dhwS5ea8/vqv8IadmSJqXi7EWzXqaKz1+WQtkkMrRTVYsHYjfKgAb18AELsHNcT18gnz9yV7pq/niHDCdeoRKNFbPCn+xV1wYu3tWYqRLG26Zcb1I1ZPezClpviezFe/WRS9ZeGco0sn9PYsXSeVwDNtl43/z4ZJ6/S491f4BR5BhnSf85Lhy+X/BxcmAdhTWE4dxOU7PVt+aHP+f8foeQ6jBXRbUqYH34h+FF44+wifMmPDK2rD04j5syEa+xwY5QOtdA+wN509bAOMDi/YW1gjdGb/sN+AyOn4Lfjou4IdMNrgOtWPNv8lb00gzZkke+ma7h5l4xYc6brDQjn7INRUf0BM2Gs4325WSTJLZs1LkzUbcBOJmm181sDjLpNU3XmKkD3s9MQPgK65Vi8u/2vnhV4OSF+FXECXQr86EwaD23u5vcfLYu8rIy3TSNfeaKweKsU9cTtsvJwDlUmGbTqwDwDVzWWGHk4/xotm+XkVe+zQIC8g1+K90Pbt0IoXIHj6RCHrm5Hw8mDgC0LGks0EsmOrbn0qci6cuGtojuJvLh8FDLuvY4vZAf0Z1lqSNQYLzeyW78zginY1iMAiWFgLZUekKTCzInPDIXy8iY32H3BbeGpd3j1HeuoZxnspHFr/TRbhx8rT/rE1FnGvAODBYhDoInBKKbjmImtUEza8rRABnx29vPqlx695vFtImoEEvnoACXyPpRwgzrKntpKdP+/obROB6bcCFHU0QVURsSLOjATNdgtmO4Ej/RmJujjNlHSduS32z9dm3PFF8I/vl9PNQLBs3l68pI6TcCcou9bo2Ln2EjHzsx7BncsxnUNqsgXWpVJt4uLt9raKaWqwaCJOV3a5NHSHL75oso/Of0T2xNdgLXuuw4LaWwOtlhQOygIJXfnu3u4909eP65VIlgAOPXIaBFiuLUkZttOaYmyriOm61sqa9ab+vjS9jUPsXj3CMdxS5E/ohERCApcQSwllMFtKhZNCGNxSVA+n7tIn9j91WW/td1wPnbXogLm54iGEwH0JlvBrcf5PHdf8z8eWyOe1lC3ikvge8PznQjpgBCflIl2mC5oHmIwC4M0VIIfmIknVpsw+dMv/vDbi3t3d6sAXu2rlHKzrK2BNXsYnnbPy+PVHzju29EkuWxMEU7KgHwPShXlwbVZdLYMYenId9F3nsUO2HSxSg9EGfO0XIVuXe1ftWY3f+YMeUL8pCUlR3eSkqYOIwWGWmQl7t2J6D1Hb73NkNAt9KAQcKCtqHpbIwVDxogMQPRY7wl5oGPZP+uJZT9xFItc7OxiSjsLLfXcfmuz3LSRWOlLuN2DCb5MnLQDCQnsRNz4TMjQtz+Fy0HUMw2hTj+T/od06SD4+luXdCPXE82rJwlc7nunvp8+RRcGRlYIj6yGfZn/rTHa/z6WNsHMtWUoH2qOk8RC0044VMFgzH6K8pu72iq+AG4sp4Mbq4UKRLYkc27JTAGTtIAVaLBBgh89kpILvlsHYJ5D25Sl18sIXOuZldsN3z0NY0y+U1MDZbhSoNwS62fWNJt0WCpxHoV8nLbr4uWhsWQrMtE64bXIVAid3reeI9Vpp+d+Scn3t1fTpr+96JNxdlBUMxFFmlY/DchABKkG6VN+6X5ajESkzL4hUEjrUoaYUs1zQSJmHdc37rage/VjOgR+16t5CaoycX8GOnSgYGxFrSnsH577W7Jh851NZt/qbTddhn3jg/aOkM9AMz/SglloATUED/ItvgKpxp2xaT/UVIXMf/LXy4+ZMIADV4UXoFvSatMF+niQ9h1Wzshj5KO+WJwZvbLmi3lMKtUthyZoNK9AYrGTo6XjM9dw96PtrTftaV+Q9maW7te63ZTtxJy/7wID7JIDYAOyidNayo3a4xOeTp0MgbR47xrIt20nRVMTkcdfSZQ6dTaJ+oNDmBE/kGu7/Yg5vZYZtWgHgHJkcOIq8jU0MIoi7fyLTyX0eyHf6XZGo5mLQpatURfkV4etdEP12jiPU78spgZucVgM5a+CwhbeZ3CQol2a7uwQwn9AgqdDVMFR4ttvomu4312V9/2HqhwBctculTyOHxCZVSfyZvdHmsNGjNRaOSg16WMpWoUM3XDmKHHIpsiXFTE0Kg20DrBQM3VDb4Zhxs52GmLACINmlI3gpYiQt5Ik4JFzJz6RDbZmQcTngOQEqxDSdzsCTDOeQYYJw1NFDnG8OmT8Y8dqIZ3Ibrof+6zIm8xFEuEiM9P+A4pKPmyezddNjkeUPNszaL5Us+CUq7XD8pxvfL32ZASJmITVUiF/wVhCGu7XJCzf25bmOe8Sm1TlO2C1OeG7VcOhVKGTK3R/9hLPHK3N/7+laSLlGkSmjOC0IrAhadjB8267dgAXytD3LfU0r1wrVgvnf7ujjQD5JHGO2lcGsxroBQSoPpNHjz5DinVXm5FiqlMFtK4AIBXi+8FgiJjf2N/s8uLEvgxs7Cy/iT+Ef6GiCNfCyod90+jtcihRxw21X490/XxKB/xk94q95Y3jk74g9zPViFkuTQr5vF8VHUjgRObPGEeQdRHiRhYFQALga1pluiKevbhxxy81NEyNuUNwA8tcC960/wnk1GqDkKSgW2DL67NDa+8i/x4mPJjzo+sEJKyHPgseXBirLVFWYlklp71zdUlItxRvLPGeHJkKtDMoYBMLDoq14QYfEU81jWgJqWRnHyCxnJbxDiTZvRBq+t+R6pCaYt+eWDCtdu1ThfKFQ5QnoDtIQesj0iAgCT2xu8RJ/33roWrimtX5GKpn/WVL1JBdEaRTvl6QzkD7tiiYoNaNAikVmNrXf88fPvrBe7HglGPT4JLgWbOb5032rT9LGBnKSz3Ksnz2/WRba/QGkYUJgHPJrxts3PX99ArwF1AygidlQWF/Pd8hzbc361UCaeqc8c1yUJW7yMPn+pcpuLnQpOo/wkcaby3L1ILg0TTrWkzhIHE+8+qURIa6Ay+EL4bD5Y1VNHOSlAwvGp/rQF6kSYlWpNgNiFVCpW02IWAmpJeHJaSpC6RXNF6u4aUs8DP7PAW65ZZPtE5sNgg1pcsHBmIigZgGJG3bMCXCvEmkES23W9u1rjbHWynBDrppAYDVaK5LzYBfJZbvdejZDGcf2eccYWUYCIGRVsP41OFFg5oGoqaJQc9jV4J4zuOTu0wR/AuF5rSA8asJR4kEN0rOreCENhAVOYnDDcGNRw3Nbgl52IOCyrKhX5zR6pZMaXY0tIew9n1+i7nYUq3YVizbZe7Jmn9/aca4/n6+MvbcJ9/95wdGlz5iOPd5V5DSOrDpClo+8lnHHbr+umis+gETIDR3Ett8vYn869J69V0gTgMf0hm2Bh9720gwVeQX7Kl7SnHAkEwYxDIiWhjLofDb1xVmyr3PZdONjqVo1vzmIEG4DO7JDSX07VCfkbAPPV2yq8MS3mAIMZLlJLmYvsznHvvjcw1n3Xz6ghdfXvp2J+45nKPLRR1rgoJqqRiJAl6BknRGjZpltGHpTOnzXqC8gOFJi88qRrGpluooYM8flV+HsTiUttIE1uVIL3G4ks1mOpGfCgGZJDETHQEJiZMLyPdC57UgwOPgvsukfQ4SC3s7c/orvTFUkZ1P+PkDfcTjMgy55QUhLDrckbDMejJ1QuLGwKjShwtUEYpxMqNGIlAYBMnGOyUigBb6DeSA3soFfTzoGmKU/mLr30cl22o2rGMU9ttORFIQRFSPIG/nn4TSaBvHSYykgh0TMauF75Vv/sBY0V84Ly9psEOunJdn8S9cwoaH6fQTyGWZmh9PAKccGoy9dmbuUfsek0Q2wzmZJLu9cr+8TsgH8eqrMz4Vf8mbAsGwHVZiEVEkTYZbf3tOOn6yJwOTFNZRSi+WyKbj+ZrJ7+ntOLHlMjgXTEHemfMIEXpSDl4XUENI4eENjY/dqGpmUH2Y8L8xcJBuBmhWnJa6q6mLHcvASs0f622bn/XEcQafMEuR+NfSFcLfY/PkSywV3E8pBsoIUcDkHkHggJLVCj5MKPQ4pjvGSgiDYSMtNOhk4PWk2FDYuEpyq2Xi7IwHF4KJqRZsry1lO7aooUpppDqQfKHjIF3AmPM3/14pGx4AegDkicQmBV4g+o/RDGhABkDYUWgW4giYImoEzU/Y8HWHTOoD0TQ/3I/xPR8Zc3Ox5cficQ6RCUmeop1QvDC7HBBqnFocSy0x42rhRLrNjHjNyPK2txWMzZ7rgcEitddry9+1/fqhai5YGAvoSyzZ8DpvwwSiwexe8hFIRm3jUa2H7QOhCGAUFeRMXTgXimrpbi29mh8c+zs8qGBYXFrgEH0T42WjtUPAYmqSVMeQFqekysUN3Gi3eJ2QDmGKA2I3CY88o8N7HrvMmqx0xNtZmToLbw66+uj1Qs4CO3mZXVswi/xsibAPoSvdHMoI6d6Qr9VCYtRkt/tIlaZIyoVNQmrPxMJIJZzNlVj5z3jzsW4DAnmORi3SA1V2Oyh7pXmE/vgUghhApyIoSAobLNm5EpGGaxFq2IzFABAQlCLGqQU7LhFh1DCQ0VZMSlicHQXAIJhtQSlJAVvC+SdwEPSCVDCmI6Ttgr0BMSFEsoL/JAWAWSV0Ih7IBoAEjP6In8BqDjoJRovg8TYDguBbw5cHlSAGwzSyucblOkexsy5OKXFkaCRqfCkutCsiYFifBd8qSuATzUOcIZU2IuTbCbQQLZJHLga/H0aDH2Z0V8eJOvVdauoTcD5KKVTg/7OWDxdcdLmm7BVlEIgS9TdPCdrhH2G4EU7cCU6oZjqP0GQNHHgKemAFAFopYVHQVWb2cvb8J1v3jO5cWdBKBoe4wOVZbO1ZOYCbMWsNEyEDv05FTYH+70hcEeqgH8V6vTyAWEMj08M4U5CsDFdQ1tKh3GluWF0GXOQMe6FWwKtX3ZR6w+7r71qzZnJ9lzhRvLo9x+A315bme7tn9UIOX++XR59B7SGwDKfd9yYO4MhAzbfE4cGdp7Y8f55totwYYBd4HXhj71fMjojfy1rzdmkrWqjZwOHC0BPYfCI3lSMFQGBWBtYMYRYSHIf2bT2wgW0Msy8HiyvQsRVV3vpJgKbjuRZmlB2BqglRkRFmaHhYWaQQROExKYorZM4lecIhnquL3yCdi0NOYuI7gExGA4NXODmleIu4K0uEwXfW0mCvagBcjbM1LSVXcpnrocSLQ46RCj2NGPT0O8IXixx3Ol3oUVWEqAD3FMLWw+ha031E5LRRjTQ2BhBcMI3GKDEP/RaD2v2uJt7SEZ105LFxET79bv89jRtMblJ1QuzdKATUTnB/SfSPkGj82OZGSRzx9kiahBUHedERIr7QkuM12ZLj6jn632c8HhMUNxDFBSf8YUIL9d6SfNfRyOyzkkIoaQcf9dfM+Ietlvk6+7HrSLGST3gOZrJuSPjB10Q5wZMivZo2BCd/pa7hPAcJREAJV6UTskuim5xA6mzwB7sn9OPm7tRPoFzHpAucfosjcB/6EVjEWrl/wU/uHsJaT8h+yxvELJ67D4ydFz9CL0g+4R602R9Y0qIYBkwLRy38aOhtmWgK8joV9HgWBkSROMcOAYQpCm6qajsQTqizH8A28GdggEJsQiA7TFS8Kr0wN3I0WyIahDCl5ojGvPjPFGw2xirVArCqZiQ2BC5C9kzrXvav9+daeB/KlHCugc4h7LnROjcyKAietM+ErEaxGs3r5h2UhJzxJ3ZedEp6I50ymBpvY78+r50t7F/X606ehutf1lK0K856RdPUTnmEzYAR1Vo38Xp3H/lnMqAjKLJ4wj7Y55jO1OT881HnDMB1oqnLE9ryR6sYgbfhDvjG4nojoktTJVZ4Y8TAN6L1WLWw0U0EMNjApkSxQvFrUvZBrx1khHGjrg2UX7e3L+HnZ3Ea4L+yKRFIKkUQ1AXN/n6Gy7dqVc6AUuhC6unSY0Bt4QhxSZbK+gS4QCSLCBcQ+70CUURZ0dc5oJp+b371bROU8FosZ1oG0lJQW1gIdalzx2iIJLzPUrsc5tMcU8dxDvlh17x13QGW1tJsup7W6IqYJt01p3r7nTPmRdR/EiW9i/7ossy2WDdTmIIixhXEd0554BUSpe587noAF+krhit81mm21eQElnXlqGHGTuWzJy1mJD7+QiCpa/XEjQscjb/vnhtylh+c23fqw05o4T0kLljgtBn5DUtvRj9mlEFcOg2hI11lxs7r9Yy1jdl70+utpbOfOtqEKJevS2onDorn1fPuqIphKhkW8BIHW8Pt2voPvE7ITU9/rEUlD8DPKRfjHLuXErt7tOUoVBmIEuCa9GDAsMqXh6nZDD1/4uAsPiZ3LNceVpwKldn1vi8yuWjUXWY8ugO09CxRrP5isl5VlrNI+7IyW0iLTRMLwiRiJG94e6HQpFyY4Mq8ejOTWel8/Rl0hXCk8Dxoo6tL/3yV96muyIaSQh3YAtrm8qbSm+hWekqy+/p4jY4Cx5PzRAU3Lslrjti6BMxTWMTZxwbFIEheBjvqtqhUzIZNBuFbX5U8vJy7b57QJlpvxlAjX1VAacwvNbStcVxHNz7517PA1QBzpeP7t/NTS1TXxZufbTpu1FJgh00mP4EDMJOdYOEEzWYXqESgWZsww9Vb3uU81Tdgw3x59npfSNpdNy3XcmpVIjUmII/wYrJ/1ajBw+Ehra30+sM0GOy5soMLCppwe8sJYg6343m3jG2z9UFeQgfZ9Qjagiax8dTIc9GJAOfXN9z3VQQ6UsGIyxWb5icrlYyn/YE/3dj3PCxftMasrgvaUrOk4v6nrNTrGguCsetUCT1Hw8nkp+H8Qi/AVZh7eIJddY2Hv5dKXlz9nmbGvUBZxsloSV+bWUnehNcOi9o7E2okZ9Oq4BGYNC57LzSa3nqM2BlwI2+NteL19SPH0WL4lbCTywJsLB3RDJBr0kks7xY7TjQnugP+BwMQnWcn53V5eDn9BPNfk54sMHc3Ei5MSN528D5Xl5cI4E4OP55HMWYBJfxvLSr7UYWLp0yWN5hEu2x9CpM+8gOBTUvVAKhEzyxXHRMzeym3vadUU/ze/pQja/7bxQGxFenAlgjWRCl1nGJrGLKQyne5YhpwTCFp2VQWc23gMIVGNEFnr4eB6FFiLh1MmrYJOKjlXm2wa1CD8Plwpm+1eSdZLsIxDUw4i7hXLVjoSa+v8zd7nyPoxt65kn4OsM3tYUO+cwJ4ehyvGYXBmbbInlYjtq9NY8QVbaJfq6f6O8z/486qa7yw5f7qxfUVxoGRhNZ0nb31ze8ulCFOZgWw5gMgSuwDCtNJP3NqFOyCvABF4aX0s4fwxHEj/DzfRAokR8HXwAvALlP4MynX4vVOacp+IEUdmuvZqM2jBMXLgpQ1WPrhbMq3xzEBDbUNcaZGaOZqJeLZtuCY88ZvgaNDIy+Z3E8svFj8Ktx2Jhc28gLmR39KN8AgkynBsNlqOibU9cQy8rIwMor6zrdj8MrJDSalAlQiFdT7WrFllaxpvZmMvOIrnh4yMn9eydDb45FkwxPz/9r4EMK6yXPv7zjr7ZG/Tfd9bCi0tZWsLKov+V7kIgvp7L1cQkZ8ievEqiAQFURRRcbkiglcUkcpFBFkEurfQJRRamnRJQ5qmafZltjNn/5/3TCZN0yRN2xQozNdm5szMWb7znXOe712fdwQkZeSus1bQZFcgSHbDqkiZ52TqvlIAlsor3E2vfeevvDaEQrmqGE5gCtustD67wd+6JezIewN58s5n+R0IWruDNqvPbksahlD9StjQhTyEdxciYCQK22oA5jZMCgLqa1rDcKeMQbUuCUH7grN7sY1cShAoolKWiD45dqPFxIM+w2juK46ST/hIo1G1dlSn3ibjmEMGZOE8JG8icGVYm+KZa+l8einU2VPMvfc1ApipfoQwhZXilODLg825I9YGMyRPc1k6plIxjkE0kjKMcHyig6IdMnenQWNYQgjkOuIOMG28yaYtfjvrrelrd/pXV0+HO+9XPiW0BEniLI3yXrghu1clj6YPnnERUhvIcFcn7fQt+Q9eurV7heNYIMO6IdglMTu5v3jaJ7tF/uPY1YCbuM3gwY8zUAbZiiI4CGsXcDOLLT3DXq5Agdf9nTOXYozORyTIZKQchQHxOtz1tQD2jZKh/2N98X1xc9eK++GGfVOcsvjxYwEiAtEZyvBoOmEHfUHLD1uND5k2cKqyhmNNiep5smd2lE2QJPcGLokXIi52PGKlIpj64HIUUohCaYAdb4ttG3/Y+EnlJXbX0tFstDgbsxzWcyOCCReLI4CpVWkD424t6xyzjc8fcdxGdo+OnEdRp9TJMy0jDzgW4bII26ELCc6JiFyADO7IjgsuakytyOdM44ZKwJOYQGziQRRXqu+0kgconU/2de7l4y/r6Hmug1k+p/mHYcvfGUAhaG0jL+sOfs1EDvC75CfWfCFr98wB2WBGFOt4vF2W70HR5T/nYP8c5Gbeah7LaUfrKGTSysr0JZVHe2hIAjN2dn5aFKVPQH1sRyzVBlFwtlHVncEet/0r/5wblKSbMLterki+aGbOApiRMRgmMcNKdyK24q8JQ/tV3i8vPkKNHexxsutlgUyxfft7gkr29xN9pwRxvdUegViQKNLu0gpHsKUYa+3hgfQOsbCubJQQcZYJqnSpYzmTMfEQazM5MyhpGsSA4v64oa/44sHSZ5alZ1zGAtLXBxsu09c5QOqGS0QAmYATNG0HGQSSK3OrjU0XUMF+8EWOQZkzA0We7+ei+FGOWAlI3BnpmQ4K8QwgQqI5TWcVZ8aizz3YfEYb5SuCZr0NmQCNmPSaZFWoI1trX/0cuu9c3rrnhXCBEMlDFa8oJpMoMhJC8CIG0c8w+p0nI7kX6QlIXnBQs1nIg/1Ng+Rfi7uvGXV6DsiS2QA/JuWwHiY9Ux9n7ihTwqXORYLEzwVggu8f0b0EkhxhchZ7bVND5TNu4w2TjeHsa8r0NddlVd0ckA3yCsOreAYejM/AJvWL42EAdcFuagSmTIUKVOjz8Y1QPY8QtemhAA3TJ7ggTgdDp6GI4j7Q+LqtkcTTI0Yce2xT4tpXhgkBfjZmy3MkSZyAU8Us6iIoAvGTtr0RIt6G4C8+1q1qDHIo+lztZAEZ1TwAlfgIAgjHMBCRb6aaGg+2j196zRHjd2bTrcNFNXA/pJcr4AiRCQwgxXgAQJ2m+FoAHNOgT57BCuuuair96YX7Sn42FCliJEUn5NZ8SfUFBSeNhxohtrqgq6bdwI9iS1vYeNsw8Ib9Woz6LqOYMKT4ZOadniNNAjWRTcDOGTHF1sWdhb/8Vt1nf15VsC5BtSZ6rvpeLXtSHAuh8KVNRVfy4D0PIbDYD0PeQkkUW0wUrUNWaQAvsmUiLFkUPFsc0qg65Gah9sHSisTjhfXXIKTkQtd0JsADA28FzoYuIUpRIc9rX8LQX/7BgWnbLkmPGsueWf1fOYnsGK+2Xb+aiqeaYEN/7Fhm2p6HoQttsMgkJOAp+1iyInsDohxbgW3Yn4SgNAUu9E4YJLbrurubit0SQCBYc9q6evb6UtQv7Lm/wS67Nz0fgXGoGHM62GAZMmnkloKHhtZQnQWyGCSyYmQ8DLZv/a3n7c+yS8AQjwLoUkqV3HY2qQHG5v49hgtbb38AD8GNmL2RvIgz7avRQwFACEaCzOpMPY+g3M+tyi87ZrWnr11nv/NozSNKWE84QVX0+ZlkSGmbdfic5vrezCCT9tykFpUWXg0K6UeRcIkYUgtJUDYcciJ8JxluVEyeeJ6J0sOGCUwGjQ1HAVLnqbdSB65hxY+c8Fhn+32y3o296+bLBthWBBXpyXq+IvMwAqj9uM8jQOwIApSVGjc++4Gx1Qs3us1nirIk0PWjnGCSQnH63iRECasoN+dOtsK1X2gadffFUz/7cLbPOYksOxJ9vGs3vzwGNpjFCDCfzOeyT7AEqmQdcNcjqW5N5FcXbehjk6N+5XkeG9YW6e1unup3cF3YEhjwz4Bzuhm/lYuS+DYllffcUbpy7RTBtQpAfPd6z+/fT8tZ4FHE41ctcc/CK7uu1HSNUkgftmxCRQtIMTZuNdz3ZQO67xe13n42Cyh/gnF8HJUJSyMChAJDs6VeaawIHMiURCyjyJ1nHPFVuJZXBbcKT61aCg/gEDdEtYNeaBTUeifEFCeEjPWA7A+ia9pBIh6kw51+8FvFakj+kxRSP2q2o+gshJACHoS7NIWkbz96CmcMUoySSMLKB1VPox1jko9s5/yAo5lfe73we08OcbeHfHcpFJGB9OVXJy6phlnlsOuYkeIK1Kujq5a3RZyPxYgOqKvC+BEdAaaRVCoFFOYk9KeieR2fe4E/6EmjOa/lEaPF2MqyldKZrebnJS5/Fm7omaZqFbm78VzY7hyVS+cJKv98+uZXX3Y15wH/Qx89DHT62N1hX+FCurHKV5ygpFxlm3w2LmsNUgyfxdXb2Z/Kqk47t4rtXjfbrVw9m09fvP2wHb5fPgRU5FqabkfSJIvUMTUqKjIzNG6UWaFEXRkeSMtt0dOpWHT2xztovAazM4eLn4IWUkJeWURSsbniOK/izmh4/6k2IpEN7rNb2CxpnFfolYqRycg9tHT9M/qSzr/jGEMOZF3SI4WBtFGNR9NMRcFpETAddww82SOZrrRd6Xu1qNZKz3O0DOQGALOLpRke9Q5R85CkYUASozzKySiN9qS9kYmU7c8ZFXo8Az+/74HMXy80miOcM9jBcjJjHOaAIBvn1OZvnB0M+2eJSGtFrohX1xLEB90SKbbxJqU08qt8jszMFBzJPvFfOtvzPwK183mMRY6PjAapZ3OXrJQSLea3VFH6MvT5ESTc039QKFCAKTJZ3CjeUNyBTbUQLJ1e9s+bfT//2J6e++hvOQVaacl0PwXdvxQqTaPN2WOg79RYU2wTVaHpbzuaxUD3s8sc6Z6W3vHiJN/Mi6v6W/e9+j6G3pOgwEWMzCAbAdi84JSRSAcvAt0UquuBriEYbBtMYeTeh8C9PAsuWD8Z9YlIcIE8kRXAsTZTHM2awB1YwqNsl3CATRNHsj1Wg8dpT2yjUF1AE12M7HMv5b33bofsc9c5pSjkQa5dF4WI5WNKIjxLK5i931+fD/srbrMMVxxV2c5H3/N5iDXC1zNaKmLFNur9IlQGJGG4GXFDglIO3tjiIevgSdwR2SCNXatcltJDOH+t9+SULymfQx2XYjp/unanYbKhJPhCIexREdENtd2uYwukiexta7/HbIRgX9lOW1djHLz4R0xiudZzBDpnpL/ok+QbEZowQgODgoZcQsuCuRKCgUNBhqbBkoaGid+RVEW9BCFZd3Xe8mJBz330XoYRf5K9a/U3Jdu9lX6TuPQcQq//LE1e8qykGa9ZYf+c9NZ/Tu69Xc/PuBnSMg9UokRqgbtrA7FvvK9a5Gc3xZVdFbHonPOOarMhpwZJl3PCk07XYS+UHfFAislVfPLSuuMBsZlumQJECuOm9kCUIIG4uAi8hoGbi1hSi/FQDAcTdx5FDWA1EvNIKsNrBKyyVCT9XWk0KVEeLp8B76JPrN2txFD7kpg06PD04kKtTLK3rH3sIECM5LQqPNSUCE4qZtcp4n7kuCWHLnbtZJ+8bctNhq4VsYoKTHc9WoaEcrZrWchTzkhjVGX8XHkqu0Q+jU1DUd5LlLnsLGkS+4g8q3tDBxG6GIR5l7g/x7Uns0GudY9Ax03PTwyKvv8LV/EwzdIxrqC4QS0/r6gDGY9RuYWMjxzSmYEQJlJG4By72nKcp90vbfkbf+hwPvf03tWTRcP+NG6/cTDw78JN+CRsIRV89NndUecUSBh/Y80uye/OcKvXG3zCOfu6O9RrgU8+K4agzD3I85yOeKoYFWTttcq7/vE3yZpSORBa8GfDmKXYVoFhNNT8jyxt9LPC8it7BYk273wmjDl2BFh7gq5kpC1T2d/UaMMDef4RHshjOZEdvMw4q/3bqL5BMAAzCuxKxMdFtRHJYE5qZYV7AOBQg19ErEPGODSgB/6lZeNQYOWxHPdE1+XwXE/V/rO6wAg0InZshIjwEOIVe9nYDkmsg9WC5ZViR+i7GATGRkiWXhUh2InAfpQCaeaBE+3Du7V9XU1nw7gJvvksohHmUJCx1+Y03hoAxVPIuyR4tuj6hQQfK2YRbxJKguOtUAh5yySlZq4w3jJSaaSpPUVkuiA3ybXuERBt4RKkrEyDtAW8wpDC3iKdN5rZVW3M3tbM5AUjvO/sbU24FJDOYI0J+SKwsySvZMGWV7EjD6DcurVTnJT9KYz1CGTx1eB5fgwG2h39MWKEif5629pt4CIe4e5dO4VPPG93d6d6LVBlbrf69b1WizZvy29+s37+9SenTmavwx7x8efunkjYDF8jSb7LwHQ11palvLTsgLdPSsGC06I5LeW/d9t+8++8YL275cmoGS6ZAnsgokCsRmZLNcwoTKiZqPkj9n08X+By7RUk8Txm2aoKpo5XzLdZu4NgJRMUz4AvktKIz74DmjypZ5Bm4EQTUX/J3imKELHfoxZtlWMQH1eJPvmzjkZ3FGx5Dhx8gNh6SGTZRp/JxkcgDdMEzadNwLf12d/f7++TL71UN/astOPxeABPFogsPcxi29bsS5/10amUGEyyGWw3AoLNYmw7VMgOkSiIOKu06r0ivaWQqLNSK/HrYR7SlASx0+UkssOvv4h8M8fOy8wLGGkgkQA2VacD4xyE/2gEJo4EJLGuRvO5g6h5XJL5qeaACgA7zdHcT+LPh4u1BzFMK1OGUJU3Z+mhOzK7ca93D6Dqn9VZPDzT2LFmgTLz/E29Vun+SNWZkZAemHHWhHno60b0gyayd639OrV/pN8OfluSxatx7CilQZHqTZ3AiIBFUSwRBXk6ZKPZz6T2/47t3L5CTqFwhC8QZ7E3YyeDHQNlLZ7D4S/HDa6CAhkPQxwPAXgd4f3LNvrchIeEgI0umiCKeBj48nht/XsWhzV2Q1XHvoum/8FKpi5DLJlfgLQPB5PXZbq/qGVe8Y4BRqEIimd2oVqt31whrfJWOEVeZFdqQsZJIduypZNlC/hSkd+2O6q4JM12bUv2wTGzwqxgMUxC9SCABa84zp976vYzxhZvQqLT5SACht264uJRMf01fM7ZyLpuAmJPwJQATxASPDKTRWbOMCFGzClhyicmM3FKxhRGwlq2IR8Ng+sUyNeY91i6+2+g3XoHHvQnRNNdjirVm7P88Nn1B3rnFPRquZUyqj6AbWHmQOv6pp6/z+9XOlnlmkOGg4E2GKLfHu7cXxBQwzchTOBLuJ2iBkR/04aUAzJHG2Nhwa5o0GcXhcaYMDehBr62fNrMGag5WcOnL2w9GSBGp/ba29KLVtpaARUN/Pa4iJjZCQBIgsn+0WcPxAgQ8nysKd658m0x9VT5/IcOzU60s3exUbXuTiO9ociQHywO5oFyB48k3WDUR/QjC2L0HSROr0YlmLM3Cbr7I3YSQkZO6qnLVj3qUUaJRfiw4wjiU5gGqbQ4/nPWikmITAIkQZO9sM1NeN83YhLKNJgGCOxd9pcyVuY9jTkg6xoaihDG4Hg3dPfNQwtwwtlV7cxcB29JLeUc0yB2bYQ3WqY/uwPxZbL9SEs8/hSfcP62vtIvDm3V/5K3naJVQhpMm5Wvng1Kn8MvetemZDRGicpqU3REvWLluwZmPKgsho35etgRBQIspJ/QiODPe/Zw+8F8QX9g3kBBDQQy+sdrat6//jJ1YHRX10/OGz3UtnUH7JlrhSBRVWHYsp2iI3Ytew9AvsKQWa39oHV2bbzpU2RjeU/bzrpLCh9pmD92dIv9BOoLdMr5ISZAAyAVEvmLXjaClI+UTmIv0ax/Opp9y2vDv/f+DMMZYCTJJsgw0bA4FUI41FqiBc8gcn81ZV0QcnvqMxZIgs5OQrR2ZhKCuSfPz+y4uc5k+nNdtx7WzLXuEYCWfgAzAkqNHhoWSnFxm1EtAiDmtMCUQikvXUBGz4YiktOE17qrxJfUMUvfHjEENMkUW6Pq0VpHkjvYnGGLPSqZ7l4eWqD1ZBPFfmEf1SpXjjv0y8lZ+oPbUKJw+aIAD+elAWIk9AMy8E51R+g985m+83AD8U/IDsQn60K/KJ59cnp1aK+biu/dLej2V1zdfgzKly3lB5gUBScGmG55SGYywEAAzx8egtWhlHDVxxOl5eDC/rq5Z809btWGk96/Qz09tESBxLaPfXM4D6wPmuwmqI+ft5P6n5Cisw/SvW46lgYe8VZbM1e4hnGLbVlf3jTse6RNnZINMYLtuuQUUehN9gSq+DJdsO1bcc5bUTU9A+BdE4+3TtcySdpyPkw9mrkboSi3lBf8sJvNpOuRzO7yw/0eW/bPy0Ki72egTxlNXkvPJlEaAtUe2CNiKGZRhHAjkkA6YVKB/YykkXAgHyEanT9OJlLfLX5kaFkfPK6tUBKUrlY+Y2N28MmT+7TluHu3RC07eVoyLWw/FlX2WK/2w0bT6Qjf+a0q+OfF7Q4WxRw5kUqOQQZrIRcuWjEgDdmCrBJGdQI2MCEg/gk02Y5x1xfF4jJvpZP8cmaibLhsWeeC2/8CcG3NCVrCmLTgtKHyQAUktpWwQq3eFCnb7W58pdAoUIYBiM/AVZ0L3U3ijrUZAad/PxmJ771P293yctQMCncg1OegEJB/BW+2hqHj0dPBXwAAINpJREFU81L3DIdAXrIkVTR3frrggkfz9v22SU4fkNulxvIRZYeMfr13eAp8psBgqzM5V2qXt3LQvPfs8qKmO05Hjc/boY1cLoZQGZ3CnQxkaKCEBDIDmK0jDMqyX3Rs666N0XsOy3LJAVmPkXT/faVPi1h/REjF5ZgJKVasy82LYaKRIp2J3vFHXs2QEgBFjt6KVS8J/uojm3vsasgWcRzOKlYN07k9W5WVN/tjanCr1pdYljlTElMbejNCDFVnHtbqz5cV9U+SoI5K2UkAmchmIm0GoZqsAS40Iqoai6o9Cby/5SS9z0TcqGAdx4z/cVHjwe9O2FfbwF7Zmswm+w5V347Yj1smnJfQC9eGEuqmvUu/s1fvXPVE3oG1dSNqG8r54TYxF0R9ejRQqgryOISWnYOLOxIW9yo8Ok+DceSkBB9TLJ0lOWWCw+uF/MLf9FWo2UVqGgKmv8z2ln6LX9r3JHbEeZ8CX5g7V5wjyRGk4s3vlqiy3V7UcvtI2ALPBQvbhQiOnVpkq5NjIsJMRPY2cO1VGH/WvZ5fVpNdP/tOj2Wu9RiBjhuem+dTfA+rkn9uGvUMvdqQPYxiZBEChqFSRwCGbYu4vm5sSSiPjP/9kWwWPXZ7QosemFWtGgmX1WSmJ97iM49kP/XWqVwxxhKF0dKUJethCyKBfEjbwyaATFAflwRlZMpOMbAMspEINg0BrAjM4lAlSQrDvAkmQpPVoEyJgt9kwQ8KncQflxyovX9kvNM2VVRAR9Ywqm2DEFGPq6bVwbSiOM96soa015h0dqz9EqZ3iTWPfYQvHd9vzJpXO/OqjwxHHsxwmPgW4jrPsU07ofjl5/m4c1cOVbfclY/6rNLxd2Fe1BVd/2FfpIR0LKid02AI/YrgSre/GxLiUJ3f0fbjVq+bqkO8UuuEfX0xjxCf3EuxUdGHaucsme7Lv+r74R3frQklm/1BpXUVhy20j5YDsj4GJbXspbMFLn1PFZULINMish/VEvGQkkcFqhUMQioz0vFWgMedqht6jD94Vtad0sfehu4rVGfKRw7HeGDEQS8yvNeu0R/R2PPKFMWRgnza0i09f37MaD8NdbIngxXIpwhKgyzZ2z/LhzX2XOdoy48Y9WfIkv+3MvefkbQpOFNA+deMPZHIqEhgTcImRmBGrQOQBq4W+Etk8J/p91yzu/m7TKuWWLQY2dwJWZMQbmAKfsGxkUwtKKaOWk6yoCPWOKG6cF1pYYRqzD9hVUqveGkWF+VlsuX7JhV68Tp3lBdQlefpjlQiGeZsVDBegFkhD7aq1+Wg8kzPgOa+dlMGabCsnyR3SiS3dpZ8gwvuiM527fbCAVLTPCBz+Q1CQfHtvGTmEdxdfR37VPiOpFHcJNOYqG0fSHtwd6x6BFmUj/FZR59EckDW95Xn2o2vjkGY0b/AJflJFLGlwg5RDJYJCuB9uKlfhYXsLz4hWM4fOFzP73t3Q/ct2cNQnXqeIfIGdfL5Fb33jAfQB0aNaTK3DQ5G2v+xmj7NBenfIaFNB0qQhw5s3UTnnm7FOb0CAuP//g8+rBrLCNcZWIojY7/ryPcEhbxrYwjOzMY59exDVgzM3FgotC2i3K1rNduOtewaqfiJw9ZF3iFSVgBqdXJbwBYLlDC4a3SFWSpwUQggrAP0D3AvQK9GJkVaUcUYi4odrOjcBITk7KF67rLfZRQZeRxhMmXHWgjZ3bMHeN04DPxw4xBNT1LabBAf7rA06x9qD4LNuQfLxqlB53KEz8wHSBVhbGyc3X4wcK3lOvvbxsKyGAHcbTvPuxG5upOkVOpufpTSfy7oziF+fEXrdL4bWZhhy+j3BE+xH9y3V53JKpoqUWSnT4A2K1d8DS7voBQJ3T+YtLUckA1wA7i3bPBrerwIhJcFyKkMITcJRHD+dl3UWqMPHKneDbCrIf2JpAVovQAr1sCnL63pvXN3w5P+ZFHx1L+PmXadrQauhHGvEOt41zrz9NMiBU3wNMgVt+qGdud1vpEv995PX58ftRr/lQnK75AvmmdCvcyCWRZVsjcUfabloBhFpevE/yJgdtm/8aKjptR4KnJ5OaoxGVJLslkqEodhN4aajpsBISwHuWn6PBEPgTKyD6HfkN6YLXeWa0p8/gCqqblz1Q+RYfG6aA3/RxcPf1+n1+93Xr8OlhcyzQDNkHMGEp3OQeBhgunyUwuGPTcTmRvLuMJHouwnFYWB/wDdFrmBANYOJDfviKbYAy81frzE9qVPB3lQGZ+6tKXfg3X9QHUbQIr5Fd0w7wmfdhHSST44DUV2pnWAqnzY5Av39j4rVF+aCx/Rf4EV+T/51MEVrc7ed733lfv8Ph8B9623gkxuG2/KgqxMXry1Z3fL3B3KRKvkNlFU70DpOsEmansy7PVqFNnuReq4whbNSt54rVLabzZBdtMrXNd/udl8b0AuvLkD5PkWeXd72BAz62VgLCjmAcSSe20jvewaX+nz2X0c6zv2xtnKlWINQonGFaD0hxoUYnYCjMqCL+BSnp4bMiVLJhZZnJAlWzzBVL2zTg7ERpMnEM3csfJi/HZWB4/df6I1BYh2m3VIJWA4nPKL4I7vPF5SP4WZbiH6AQxDb72xxqNF/xEyQGMfFOW66xrHbvrMrnnX8YtnDkq9zQIZSAnvgR3tlAeyczu+mW+68mW4Duf5HGESHB1KWnDrXNHeZLdbyzeP/UE1XSurcuUfwa/7KJuydMVgbb05IKORO0UbmGX9ZkybDfuPLE8738u7K4O6No41LQIN6ksIewhaNiW/e8/UEe902iB1xPOGoF/H+l/jzeKrrp+fCQruPSRE1c3ypqGOpvuRmCiP2lBcWnowWHhemAdUDYBmU+k5NAI1GZ5LhQWQ7NyxB9rqN7/Aip7GIagbQ9oAEBnVlOxu/pDQrqFCul/yB1U1ZGipAHjuFQCJjFhAk7tWCDkayxTLuJnPvmj/UHRkUfu3P+WTlb+mmS0iBqr/XWJMBAToyg5/Z7+mXVyNeLf+Vz70CwEZrs4Nkm58/1QBMrcM12TxKhhOayQ2fYTI9pgKe/Xj8XNvvONSxPN9HbaGmQD9CIX54UxxuyChTBWQG243NLupe6vqPl6Mb1HWL/1gf06QQyN0aCmXNH5oLE65JYo7AphtB8/T2CzpYpA1+pkpXhOQI8EkYr2yjR4z6DueQZ6+I+8rARhF4EsI6oUta747t/Ei/EQ5i90NYR2zkLJ1MWoNzICw0SY57rqIpj0sho0099tL0kLiOsTTneMTQtB0yWNpwExk1MMu9jQXnN9Xr3r7TbZ06EGMOoingE4Lya7eH33FUAE9fucnPtGqFOqQ3MJCSywtFokO1FHwEaL4pamoS8yda6olRJYajqMhGyPuMwIdbLYV58dQLGRefVkApNTfSgkgngYhoJeohtHNstBSXxTE1FEaOGpIeiWLdUUcUSKI34DYcS39frSmyqJjInYqLYEO4iS2MoDPnQQ+ozRQbaDCZQjltQwuJS0Q1jqiDMe0hEJJMkqiEP82Yu3glOEI7HLwI4jITRuKIEYAp8pM3woMBpDbN95B1r4jixM7b77+p/9PDKnXYMjHc5AtHJJacR9y7FMHlZLAI8VS+Cd3Ryu3X3+g8DMlC648asnFnkOSk8h6jsYpukxVl1iVPsYy9HEvTpi2p1mRV6iCb6IOG5Yf8DUX4Q+7EQoRhkzfjJS2qXguGsFtVYPYL4rC71IxUwha/dm1YsltiepXhimWdCmktYWkNYK3azMAbwuK/tYzVhrLBuY+CRU2zkqK4HkcgyiLMQBH1ARw2wRbeMdU+IHreQF5c4dcEjvWy0T2LTQXdrJbERuWgG3rSZYW7ZTfDEiGG1EUBV401PaBgQsPKnRUOc7kVAfbr8SIB66v4y1qv2MxXLKr6KEk1bEIVDPE7nqQSgsIw/FMOyAHbGATxBJQ8sQQmoIAYTz7WH+fbupnby2+D2M5cEtvf3WiIAk3yFz+CcIvDlvfk0YZwOeFUSIbCYk0VCjFrTgMDbYYNLmUdgA8MkCH6P8JfEAJCq8LbAkAHbAYyhgQDSEwEnUebKFeT1CLDlKjbTppQBUuJcogKX7CaKTkE0e4LNoICsQIgQwMFZwwrdks4AdwHQSvFb1j/NDIFT6suNBl6+bp/+eCe+a1q9YfcOSpRE6KwfIO1dcLJcSDcNTSTPNf38jfDeZXJJQPsuUkskEO1Pt5NaqxiSyAWskPOrNYyyWthcNHkGRECiUFR1CM1xRE4KPoIIJU8dBBUqA7ZF+XIEP3Mu5fpUDXl7iVK+5irjzKkdy9qFn4R5SM28MMLSnNvOAI79KV3CteSw9Y/Uqg6eqKCoHNmGGVYc7Gd++bRiBGnUEd9tUIcv63Dkn/U+Hpl8Zw3rGKiuUtM9oABuPgHY1hoFQpoMcSYAH2D+cl5jjku6J8kwxfj5GwuNUeCMc6+OgrNU2w5wbBHW/HDUCWw8aAUnueNJ6VW9XsTDCZUnKWit0tVmawZ/QtoA9K4hMeVJ8cAZkkmEEyhXLdlRDXSjBupB6PCQmdDUlZdGUvfUeEBIee5yOWcVJ6+3o/FzTo7AIEJJRCrlwFARg1d0fv4wpq0YGixQkroqPrKN4EulnULUVuGDeYYKZT0HsDsgAEN5yQkWd3qI1Onl5s+w3DyYBOfgZd6g8CgQpd2ZLcmhqbjRulgdV1rMs0vM+LY53zXbZ8OWNXVGD5TpeXDuzlpjFf0H77lwQuT0C1cy+EiZLBSWoljjjSCjBpYJnyxVG+ExKdE5Ql2eS3za0ZufZNiuAZZMsB2SAH6v2+GgWTgg67pnp0cAf6qlB/s+J2DDcP3JNsHB4BEpAsLEdghijALdUBCQ2zMh5yGCsEzLaOtYYJ/r0CS3cI4xugbvVftYiOkW1LOe8zUDH7+/vh/ft/Pm/LbVetvtnX6TH0oaBJt2ras3txABwM68sFVj4B6larwjTQy9oisjTVEZYWnOlufTl4jbF1SaVKXtuMyEkgRZz6KG3GfKSL4WE9A8A2WijwHlhCCqRLMdG0ArfEJt167Y4111mi5beQpOvtIhR03DamBZSAAamE+pZEqhzRQU0DIC2VVHsfrGwIm2FpW7A0QQDtiCuk4S1NI1dOAzjqKmYvVaEoPL/R0tZmFfkEu7y83jw5nHVl6PbAbU7Ht8cLonQ2xkgG+ahH3Z2Pwir1ONFJwjBoCwpqE9RDai0F3ZIGTTTBXNQuQO3Rs5RoGMWHy9azfuLxeh85B2S9R+QU/kxR0o+4rfu4bXWAx6kQcyA0ApfVQoXsBGDBKA2zvMPegZoZgE02G7gKDENeqWAlJamCz/zYq6fwEHR3nQJPKyqYOEPzSy0hR1TaVDlS8HcUEwubakBd7G5fvxmVLhAJYSLvHkoYvLsMUA7NTGBVqwQrXYjcqg7XbVMIgygrHpY4E0KdkAR6pSHvtlCdTGr0SpLGJmsv22hWsYuVOTD72OwF4y2PW4z4xWgdgBP2I+pvyO3PsqRvvRRNhjCpAMhcldwuoLhRbVwWyCqkuFG832jUgIxjYz+4ugpgjfMDZNFn2LBcEXU6XBSasggIFeiOko0L6dhwkyoWjxaEuQlxfM7iydyofBUHpk5gonKRUAdTJrqOWr8eVTYwxsEcJmAiAmECZjAyH6I4tInapwa+h2qNSDiwf8GqqkM/hhcYy6age3RTzNRVNYDvAaCkfnbqBvOjKyi+G7Hcua4PBXpRj4CkLlK/F4Omjmi7p0D9JtpxmCXYeaC1XmPuZG0AMqA9kyLIBInpc+ex0tfL8Q3O76gtB2RHHaJTawUok3E8bJsU5r8ENCe4txjyIAnOXLYL/E7U6MlMdt0fBGYCpDPE33dqTD9q+IW3g5P04lEWzURXIlD1VBjroWYxf0RK2WnZMzpbsNzA7mOQ/UeSweqCUAwb4APDswW7j4nH0K/i+Se7c5XkjhdQdwd5A1EEpzKk1TM3mMRjvgMP/CKbWzsU14qBWkKDicgKyLDdk2PTSCE1IWZLhSNRushw61gdG1VaDFUL5uxRaXeSMdatqt/H941qLxFc/7X0lJE0VomHc7d9kGkY67/qG73RjUHK+Ju+Gd5bGPyxFqEZmDn0zcH2V/iCBbsASoK0fDlnxcWcLcGOKloE0QENXaBJYKlmx1aGT4KZKg+e17/IweAu2AVkAZcXRk3OEvgTUpll+oyVkhoRryJ2D59R0Er0B4M8bWmST3JF3ZJFVXSllGGqcPEosgBKEDDiYKpTJFGC7uygmqQID6+lItdRQd/QZaop6oZEACyOCcEdJYxgv6ftIMzKGFBk2SuS40AXNV0MPJAUPh8aE3f7Oucv8XemPKS8k5cAqHsSKV5HQkLFJcQOKCtEYbNQHGaCUMI2sC5HLlakdfFX3Fn1NllGBtVyQDaoYTp1VhrH8hI1vO1RANclFFpBBTYIxKhlXr3n6dAJYaKm39O2XhUT1acO/TC4JXoYWXk53OVe6hHecZfClpxiAB81AGMzHggyOkPygUVFQu0fgA/mfdsBWxJRtEK8ICTx5mxUQMZhJS3tsCTAxx+2ZVQuDtgSXmHEQ3or8MCAsUdz7aQVEAA+LsBHS9mSX7alAp/N9DgZYXBIkyHQjNAHp70HItNYl03bYQu7on9Fyeo7k3b6gDLj9Y7nls/gV3TZfOiMITVlh2nAAYDXco2SMg+C96yUismmvckiM7ZtADBCFPrrxOThLZNABB8gwgze3JJ/9y7aOY41oLQBFmCNSK0hOaUHE91O+xyowYLAA3eV8eUz6JyRr72qmEvhPMh71ZjKAKCIVmHtWyGJ+jkbUcra2uOY42ReJMYAmDKPxYBfYoJHoyjV6YEpgNQTMwGkGGoSDXF1RBGgymJh+/mS+k8bMgpXWYKfzpQmzR0A/HKzGlWuJrAiDPUrqE9AtTHg6/bGiQYfO4WG4CZUAw6DQbYckA1yoE6V1ZbCVvWw2/lq2k7+OSwWXh1jzd1d96br7k+ZBaANtAK3M5Bsf/yaN1azr6JknZ4SZBaEIuNA5aJUybQJ6YfABwTWCnQQG5IQGqZol+1c7WpBiECBYlcSwU9ABUccZGirABnHtBUVlhvLNDVV1FyDWwHy07uq0wHJJ08ptmBIdsAY6tTVCJ5xufuGJOCxYe6bMcFl0C8UMjavwkGXNLvPkb35OMCH+oz2jrVzlRCR1BIYrNuvvDILJmXej4N9KcdzvqCD/0gJKD+xjAwbTXZ8e4oR2e8Q5U8zCYxq7o8HewwfhB1oeZBDneBgtxloPW/OYmWDBoeB9jWY385ou22d6iigd+XFZDWstVtRGarTA/1WI1NLgaTWZ403PNsi7ZNwEbcNBD97x4wZO+kOGFTrvm8GtXZupVNiBK7l0bY/uG3fTLht0YhYeKkGRRIudTxI2XsYEyykNRWGV91NxnyG/qPLa3etMUrGjlQQ2apK0H+Sgg0/XhqFMeB2lwFG8J0jbZKlbEvSIh74MCvt7dCPUanCH6ldjOHWSwN80kCf+BR8hnkF4ONnV2D5Lqx1p7dNPm5YNG+ZFo6vlR3XZkicr8bDdTqMaNXYAbl3j73BCJ12f/SQGIufKeUFrrbjKOIEW5AnVvTaGxU5gTDkuCnzBxuL7v5nr5/7/xg3KGrUhHHzlGxvFHx/21ltd+yE1DoO5g44LsEvBjWTrnwCdlpq2eXs3QBeNuakzBpXMcuX58IvvDH6UL98gRfUPuo2fTHmdFwHYeAGvxAuhYMbY5JRNDUn7hgs9TJI6u4v9O1ayWbFXQX+tozU0+GqkHog9hwGPp7Qf8IR+mXv+XWBjXsdtNxL2D7lfwlhzox9+yLkNF4AaWAs4ryg8vJa6FArR4V3vDDQw7SN35o8t+PeG61EqhkC6zIRDLTgdAWgYdjwZBLHPlFuW3Ek6NvsLt926deDPnn060cNlRM/miwdvzMvPp25/7GL8Ufe8/J/g+5/14q7pMS9I8XgtKArjgeUd+O8B1xd63QvQ5TloLsWTOs+Mzip9ViO1b2PY9kot+6pMwKPuq7PTh8cJsnqfJikpgCHKGi10bbcN5nU/HaYTU31rj956pzd8fXUo5Exhf/+euHWpzdEWm8QVHkenjAf/HgZDUWEeozAMUe3tkFAvW1z/j1rBjrSkqaykKFYCxxRvBpq9bmQfEvwYMHvyGsAji8jjOsJI3/UznJ+9NJ9c9vL8vyi/WWEw1wBz+X4MJMDOnf0FLfhAeBrwIf0m9eK7nlPnTIDjUX2t84dLxZEVHUE08WJv4tW3/l0cePprVYK8m8fZkHCfQTDEiusFUv93ueIt6zKLxt0DBkdMwdk2ZH/gL+XwQs1lvLf2DgGg4tTAVtV2VGMzR/kIfnv/Y/89G+FDZ/vcPR8ABhs6r3OFk8GKjLBU4JIU9360sbCewZ0hFzx5BXirvPH+iKIRNVSblhR4KAQrISSNIzXRj1AFv/eR+h1QMbmg+pZDoq/RI7ofHg3EYiLxDCYA8j4DeMR8jURPsHYASdt/vT1/LsfOGIH7/IX6JuobVtVKvudCWBDGW2ZDuLGeKntuAXQJIkXqh2S7kHwnFddNnL9mIOq8VU5pJZSXirZwWhE4ADxiqvYyCuB5/MBJDzduyly7zFJY3TaOSB7ly9+7nDv/QjMb7htlhiS/o7A0/GuDQmhP4jJgBl5flsRqHnBxmHf33ayer+opWwayDuWC35xFioloU99dAr9QbAoXLJCEzIK7ttYePf9J6s/Pffr7lwHwdAebtnuOIRgTOakJnJwrnEuA7SIs6gdESgHkJpfI8r2PkRcNzBd6ER0hcUiUAAaFeuuec+5/2jTpsqK/wrk5l4EyXUcjBwSAK/R4cI617X/lE5pb2wb/uNkz2MPdjkHZIMdqdx6H5gRgAH6z9wvXQ6pR/bqMgDJiP2XgloJPshVSxW/KfaLHhDPAJ3Qn3694J7L8UUfCHNiQ7Nof1mBG3V+LIXVaywUgz5aE1AWDna8HUbMvHFz8fdWH239wf7uVm4sNFlynMAB8IxPgGo8AiBeBNOVD8eLA7MOgnpnH8CnFkJ9PbO0RiZGkyzSFfbSGrbZvHkI08t6gnsdGTu9hN2kaM2FshYwgoamgEBYS2ak1ij4oMr60Dt77aOfjzkg62dgcl9/MEdgYeetkxE4tRaANAzBpiw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    "Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.\n",
    "SPDX-License-Identifier: Apache-2.0\n",
    "\n",
    "![image.png](attachment:e3783a74-838b-4c3f-8cf1-8d8cce5ff7b2.png)\n",
    "# Getting Started with Graph Algorithms\n",
    "Neptune Analytics provides a set of optimized in-database graph algorithms that provide implementations of common graph algorithms which are exposed to you as openCypher procedures.  Graph algorithms are a powerful set of algorithms that can be used to provide insights into data based on inherent aspects of the underlying graph structure, such as connectedness (path finding), relative importance (centrality), community membership (community detection), and similarity.  \n",
    "\n",
    "Within Neptune Analytics, we currently support algorithms in four main categories: Path finding, Centrality, Community detection/clustering, and similarity.  Each of the categories of algorithms is described below with links to specific notebooks that provide details on how to use each of the algorithms.\n",
    "\n",
    "* [Path finding algorithms](./02-Path-Finding-Algorithms.ipynb) find the existence, quality, or availability of a path or paths, the set of nodes and edges, between two or more nodes within a graph.\n",
    "\n",
    "By efficiently determining the optimal route between two nodes, path-finding algorithms enable you to model real-world systems like roads or social networks as interconnected nodes and edges. Finding the shortest paths between various points is crucial in applications like route planning for GPS systems, logistics optimization, and even in solving complex problems in fields like biology or engineering.\n",
    "\n",
    "* [Centrality algorithms](./03-Centrality-Algorithms.ipynb) are used to determine the absolute or relative importance or influence of a node or nodes within a graph. \n",
    "\n",
    "By identifying the most influential or important nodes within a network, centrality algorithms can provide insights about key players or critical points of interaction. This is valuable in social network analysis, where it helps pinpoint influential individuals, and in transportation networks, where it aids in identifying crucial hubs for efficient routing and resource allocation.\n",
    "\n",
    "* [Community detection/clustering algorithms](./04-Community-Detection-Algorithms.ipynb) evaluate how nodes group or cluster into communities of closely knit sets of highly or loosely interconnected groups. \n",
    "\n",
    "Community-detection algorithms can identify meaningful groups or clusters of nodes in a network, revealing hidden patterns and structures that can provide insights into the organization and dynamics of complex systems. This is valuable in social network analysis, and in biology, for identifying functional modules in protein-protein interaction networks, and more generally for understanding information flow and influence propagation in many different domains.\n",
    "\n",
    "* [Similarity algorithms](./05-Similarity-Algorithms.ipynb) evaluate how nodes group or cluster into communities of closely knit sets of highly or loosely interconnected groups. \n",
    "\n",
    "Graph similarity algorithms allow you to compare and analyze the similarities and dissimilarities between different graph structures, which can provide insight into relationships, patterns, and commonalities across diverse datasets. This is invaluable in various fields, such as biology, for comparing molecular structures, such as social networks, for identifying similar communities, and such as recommendation systems, for suggesting similar items based on user preferences.\n",
    "\n",
    "Many of these algorithms require interacting with most to all the nodes and edges in a graph, often in an iterative fashion.  These aspects of algorithms make them computationally expensive to process using most normal analytics technologies.  Neptune Analytics has built a set of highly optimized algorithms that allow performing these operations on graphs of any size.  \n",
    "\n",
    "\n",
    "## Using Graph Algorithms in Neptune Analytics\n",
    "\n",
    "Graph algorithms are integrated into Neptune Analytics through the openCypher query language.  Executing algorithms is achieved through the use of the `CALL` clause, as illustrated below.\n",
    "\n",
    "*Find the 10 most important airports in Washington*\n",
    "```\n",
    "MATCH (n:airport {region: 'US-WA'})\n",
    "CALL neptune.algo.pageRank(n)\n",
    "YIELD rank\n",
    "RETURN n.code, rank\n",
    "ORDER BY rank DESC LIMIT 10\n",
    "```\n",
    "\n",
    "### Invoking Algorithms\n",
    "Algorithms can be run in a query by themselves, known as Standalone, or in queries with other clauses, known as Query Integrated, where their inputs can be further constrained or their outputs can be used with standard openCypher syntax and semantics. \n",
    "\n",
    "For example a Standalone algorithm invocation might look like:\n",
    "\n",
    "```\n",
    "CALL neptune.algo.pageRank.mutate()\n",
    "```\n",
    "\n",
    "While a Query Integrated algorithm invocation would look like:\n",
    "\n",
    "```\n",
    "MATCH (n:airport {code: 'SEA'})\n",
    "CALL neptune.algo.pageRank(n)\n",
    "YIELD rank\n",
    "RETURN n.code, rank\n",
    "```\n",
    "\n",
    "### Algorithm Variations\n",
    "\n",
    "Many of the algorithms available in Neptune Analytics support different variations of the algorithms.  These variations may provide different outputs for the same algorithm, such as `bfs.parents` and `bfs.levels`, provide different implementations, such as `sssp.bellmanFord` and `sssp.deltaStepping`, or may provide different options for managing results, such as `wcc` and `wcc.mutate`.  In each case, it is best to check the documentation for the specific algorithm(s) to get a more detailed understanding of the available options.\n",
    "\n",
    "## Next Steps\n",
    "In this notebook, we have discussed how to load data and query that data using Neptune Analytics. Below are four notebook links, each of which provides a deeper dive into each category of algorithms. \n",
    "\n",
    "* [Path finding algorithms](./02-Path-Finding-Algorithms.ipynb)\n",
    "\n",
    "* [Centrality algorithms](./03-Centrality-Algorithms.ipynb)\n",
    "\n",
    "* [Community detection/clustering algorithms](./04-Community-Detection-Algorithms.ipynb)\n",
    "\n",
    "* [Similarity algorithms](./05-Similarity-Algorithms.ipynb)"
   ]
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